Comprehensive Review of Electric Vehicle Technology and Its Impacts: Detailed Investigation of Charging Infrastructure, Power Management, and Control Techniques
Abstract
:1. Introduction
Challenges to the Widespread Adoption of EVs
- Basic introduction of the overall system existing and its challenges;
- Different EV technologies and their architectures;
- EV battery chargers and their classification;
- Different battery-charging topologies used in EV application;
- Classification of different charging infrastructures for EVs;
- Different types of control techniques and energy management strategies used in EV application;
- Impact assessment of EVs;
- Direction for further research in EV technologies.
2. Electric Vehicle Technology
2.1. Fuel Cell Electric Vehicle (FCEV)
2.2. Hybrid Electric Vehicle (HEV)
2.3. Plug-in Hybrid Electric Vehicle (PHEV)
2.4. Battery Electric Vehicle (BEV)
2.5. Comparative Analysis of Different Electric Vehicle Technologies
3. EV Battery Chargers and Their Architectures
3.1. Based on Power Flow
3.2. Based on the Charger Installation
3.2.1. On-Board Charger
- AC Chargers: The AC charger is typically the most expensive and time-consuming type of on-board charger. They can only charge vehicles with a certain amount of capacity because they have a limited power output. On the plus side, AC chargers can be used with almost any kind of vehicle and are adaptable.
- DC Chargers: Compared to AC chargers, DC chargers are significantly less expensive and typically offer quicker charging times. They can charge cars with larger batteries because they are typically more powerful. They are not adaptable, however, and they might not work with all kinds of vehicles.
- Bidirectional Chargers: The most cutting-edge on-board charger, offering the highest power output and charging speed, are bidirectional chargers. The most versatile kind of charger, they can charge stationary batteries as well as EVs. However, they are also the costliest and most maintenance-intensive type of charger.
- Restricted Input Power: On-board chargers are normally limited to a maximum of 20A or 40 A, depending on the size of the car. This suggests that the charger can only receive a certain amount of power from the wall outlet. Due of this, charging the car quickly may be difficult, especially if you are using a low-amp outlet.
- Limited Charging Speed: On-board chargers can only charge at a maximum rate of 6–8 kW, depending on the model. This means that it can take some time for the car to finish charging, especially if you are using a sluggish outlet.
- Limited Compatibility: On-board chargers often only work with specific car types, which makes them a bad choice if you want to charge a variety of cars.
- Size Restriction: On-board chargers can be substantial and take up a lot of space in a vehicle’s trunk. This can be a problem if your storage capacity is limited.
- Heat Generation: As the battery is being charged, on-board chargers may generate heat, which could hurt the battery and reduce its effectiveness.
3.2.2. Off-Board Charger
- Limited Range: The length of the power cord determines how far an off-board charger can travel. This may make it challenging to charge vehicles in locations far from a power source.
- Cost: Because off-board chargers need specialized hardware and installation, they can be pricey.
- Limited Availability: Off-board chargers may not always be accessible in all areas, and, in some places, the infrastructure required to use them may not be present.
- Installation: Setting up an off-board charger can be time- and labor-intensive.
- Risk of Overcharging: There is a chance that the off-board charger will overcharge the battery, which could result in damage.
- Safety: Compared to on-board chargers, off-board chargers present a greater risk of shock or electrocution.
3.3. Based on the Level of Charging
3.4. Based on Energy Source
3.5. Based on Connector Type
3.6. Different Phase of Charger
4. Charging Method
4.1. Constant Current (CC) Charging Method
4.2. Constant Voltage (CV) Charging Method
4.3. Constant Current–Constant Voltage (CC–CV) Method
4.4. Multistage Constant Current (MCC) Method
4.5. Pulse Charging (PC) Method
- Pulse Phase: The battery is subjected to a short (milliseconds to seconds) high-current pulse. The normal current used to charge the battery is far less than the pulse current.
- Rest Phase: After each pulse, the battery is given a rest and the charging current is stopped. During this time, sulphate crystals dissolve and chemical processes take place.
- Repeated Cycle: Multiple cycles of pulse and rest may be required, depending on battery life and the extent of rejuvenation.
4.6. Trickle Charging (TC) Method
4.7. Comparison of Different Charging Methods
5. Classification of EV Charging Infrastructures
5.1. Utility-Grid-Connected-Based EV Charging Infrastructure
5.2. Off-Grid-Based EV Charging Infrastructure
5.3. Microgrid-Based EV Charging Infrastructure
- Microgrid Controller: The microgrid controller assumes a critical function in the regulation of power distribution between the microgrid and the electric vehicle (EV) charging station. The system incorporates algorithms that are responsible for regulating voltage and current, while also optimizing power flow.
- EV Chargers: The microgrid-connected charging stations are designed to facilitate the charging of EVs. The package contains essential electrical components, including cables, connectors, and power converters.
- Battery Storage: The battery storage device serves the purpose of temporarily storing the energy produced by the microgrid. The necessary components such as batteries and controllers are provided.
- Renewable Energy: Several renewable power sources have the capability to provide electricity to the microgrid.
- Power Management System: By leveraging this advanced technology, the microgrid has the capability to autonomously regulate its power consumption. The integrated algorithms enable the management of power flow to both EV chargers and the battery storage system.
- Communication System: The communication system of the microgrid facilitates connectivity with various devices, including EV charging stations and energy storage units. The inclusion of protocols for the transmission and management of data is a fundamental aspect.
5.3.1. DC-Microgrid-Based EV Charging Infrastructure
5.3.2. AC-Microgrid-Based EV Charging Infrastructure
5.4. Hybrid-Microgrid-Based EV Charging Infrastructure
5.5. Analysis of Different Charging Infrastructures
5.5.1. Analysis on Standalone Charging Infrastructure
5.5.2. Analysis on Grid-Connected Charging Infrastructure
5.5.3. Analysis of Hybrid-Microgrid-Based EV Charging Infrastructure
5.5.4. Analysis of Renewable-Energy-Based EV Charging Infrastructure
6. Energy Management and Control Techniques for EV Systems
6.1. Energy Management Strategies for EV Charging Systems
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- Smart meters and smart grids can help utilities track consumption and identify peak demand.
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- Consumers can reduce peak demand by turning off lights, air conditioning, and other superfluous electrical products and machinery.
6.2. Control Techniques for EV Charging Systems
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- Field-Oriented Control (FOC): FOC is a technique that accurately controls the torque and speed of the motor by decoupling the torque and flux components. It maximizes motor efficiency and performance.
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- Direct Torque Control (DTC): DTC is a control method that directly controls the torque and flux of the motor without needing to decouple them. It provides fast and precise control response.
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- Pulse-Width Modulation (PWM): PWM is used to control the motor drive by adjusting the duty cycle of the voltage pulses applied to the motor. It regulates the motor’s speed and torque output.
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- State-of-Charge (SOC) Estimation: SOC estimation techniques are utilized to determine the remaining energy in a battery pack by considering various factors such as voltage, current, temperature, and additional parameters. The provided information is essential for the optimization of battery usage.
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- State-of-Health (SOH) Estimation: The estimation techniques for the state of health (SOH) evaluate the condition and deterioration of the battery pack. The measurement assists in determining the remaining capacity of the battery and its power delivery capability.
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- Cell Balancing: Cell-balancing techniques are implemented to ensure uniform charging and discharging of each individual battery cell within a pack. The prevention of cell voltage imbalances is crucial in order to maintain optimal battery performance and prolong its lifespan.
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- Cooling System Control: The cooling system is responsible for controlling and maintaining the temperature of the battery pack, motor, and power electronics. The control algorithms are responsible for regulating fan speeds, coolant flow rates, and various other parameters in order to ensure that the temperatures are maintained at the appropriate levels.
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- Heating System Control: EVs necessitate the implementation of heating systems in regions with cold climates to ensure the warming of the battery pack, cabin, and other essential components. Control methods are employed to regulate the heating system in order to maintain comfortable temperatures while minimizing energy consumption.
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- Communication Protocols: Charging stations utilize communication protocols such as OCPP to facilitate interaction with the grid and enable control over charging sessions. The utilization of this technology enables the incorporation of functionalities such as billing, load management, and authentication.
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- Power and Load Management: Charging stations equipped with advanced technology facilitate load balancing and power management in order to mitigate the risk of system overloading. Real-time adjustments can be made to the charging rates, considering the operational status of the grid and the preferences of individual users.
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- Smart Charging: Smart charging techniques consider various factors such as energy pricing, the availability of renewable energy, and grid demand in order to optimize charging sessions for both cost-effectiveness and grid stability.
7. Impact Assessment of EVs
7.1. Economic Impacts
7.2. Environmental Impacts
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- EVs do not produce any air-polluting emissions from their tailpipes;
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- EVs do not add to noise pollution because of their low operating volumes;
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- EVs are better for the planet because they do not require engine oil;
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- In order to prevent “corrosion, crumbling, and failing early” and the associated high maintenance costs, EV brake pads are designed differently;
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- EV makers have, historically, prioritized the use of recyclable and biodegradable components;
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- EV chargers powered by renewable energy emit less emissions than gas stations. Charging stations can keep “fuel” nearby, unlike petrol stations.
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- Electricity for EV chargers come from power plants that generate electricity from fossil fuels. In places like California, where the power grid is already strained during the summer, this could lead to more rolling blackouts;
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- Manufacturing EV batteries leads to habitat destruction, pollution, and water scarcity;
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- Battery metals like nickel, lithium, and cobalt require a lot of power to extract. These minerals are typically mined in places with poor environmental standards;
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- Although EV batteries were not developed with recycling in mind, technology to facilitate recycling is improving rapidly;
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- The weight and torque of EVs cause premature tire wear. More frequent tire purchases lead to more pollution.
7.3. Impact of EV Integration on Grid
7.3.1. Impact of EV Integration on Grid Stability
7.3.2. Challenges of EV Integration in terms of Power Quality
7.4. Existing Solution of EV Integration with Grid
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- Smart Charging: This innovation optimizes the way EVs are charged to save the power grid from overload. It allows EV charging to be scheduled based on the availability of renewable energy or during the off-peak hours.
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- Smart Grid: Smart grids are built to automatically detect, monitor, and regulate the flow of energy between power generators and end users using the information and communication technology. In smart grids, EVs can be charged and discharged in a coordinated way that also allows renewable energy sources such as solar and wind power to be integrated into the system.
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- EV-Charging Management Systems: These systems can help maximize the amount of energy that EVs draw from the grid, reducing the load on distribution networks and the distribution transformer. By offering usage-based or dynamic tariffs, these systems can also help reduce the cost of EV charging.
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- Demand Response: By incentivizing e-vehicle owners to charge their cars during off-peak hours (e.g., evenings), utilities can reduce peak demand. This reduces the burden on the system, provides better regulation service, and reduces the possibility of congestion in the grid.
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- Vehicle-to-Grid (V2G): EVs can provide electricity to the grid according to V2G technology. By supplying extra energy during the peak hour’s periods, this helps the frequency regulation service for the grid.
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- EV/Grid Interoperability Standards: The safe and effective integration of EVs into the grid can be ensured with the aid of EV/grid interoperability standards. The gear and software used for EV charging may be made compatible with the grid as a result of these standards.
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- Renewable Energy Sources: EVs may be charged using renewable energy sources like solar and wind energy. This lessens the dependency on conventional energy resources and lowers greenhouse effects.
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- Battery Storage: When there is a large demand for EVs, battery storage technology can be utilized to charge them. It also allows for the storage of extra renewable energy. This will result in a reduction of energy costs. The extra load can also be supplied by utilizing this battery energy storage as an ancillary service device.
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- Electric Vehicle Supply Equipment (EVSE): EV supply equipment is abbreviated as EVSE. It helps minimize grid overload by reducing the amount of power consumed for EV charging.
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- Power Electronics: Power electronic converters facilitate, regulate, and improve the EV-to-grid energy transfer. The advancement in converters allow suitable EV grid integration and improvement in energy flow management.
7.5. Summary
8. Challenging Issues and Possibilities
9. Conclusions and Future Research Recommendation
- To make recharging an EV as quick and easy as filling up with gas, ultra-fast charging stations are vital. There is also an urgent need for academic study into the mitigation of heat, noise, and EMI in these types of charging stations.
- Due to their short service life, EV batteries require careful planning and development. Batteries have a finite life; thus, it is important to work on other issues, such as improving solid-state batteries, designing cells and packs, creating management systems for batteries, and making electrolytes and electrodes more stable.
- The design of an efficient power converter is required, including the use of a charging cable, cooling technique, protective device, and high-power solid-state transformer.
- Additionally, both V2G and V2H vehicle connectivity technologies are immature but have significant features to explore. Further investigation and improvement are needed to best manage renewable energy sources and grid-connected charging stations.
- Smart energy management among the sources integrated with EVs to ultimately manage grid overload requires more detailed analysis. In addition, improved power quality control schemes require investigation that may assist in suitably controlling the power converter while maintaining the power quality standard.
- Furthermore, public-road-capable EVs need to be able to be efficiently supplied with large amounts of electrical power without impacting the electrical system. It is suggested that smart charging be put into place, in which the charging habits of EVs are affected by variables such as peak demand, renewable source generation, dynamic pricing, and individual EV owner requirements.
- Smarter choices can be made with the help of artificial-intelligence-based control algorithms, which has the capability to improve in predicting EV charging loads, estimating driving ranges, and implementing dynamic pricing.
- There is serious cause for concern over the potential for theft of sensitive information related to the charging infrastructure, the position of vehicles, owner’s information, and their payments. Also, it is important to note that malicious cyber assaults can compromise an EV’s remote-control functionality. Accordingly, resources must be devoted to studying the areas of cyber security, resilience, reliability, and protecting user and grid data from malicious attacks.
- In order to advance the growth of EV offerings and associated customer products and services, the development of novel business and policy strategies is required. Creating cutting-edge EV business and policy strategies for EV users will enhance EV adoption.
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
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Fuel Cell Electric Vehicles (FCEV) | |
---|---|
Powertrain | Uses a fuel cell or hydrogen fuel to generate electricity for the motor. |
Performance | Offers excellent performance, with good acceleration and top speed, but is limited by the availability of hydrogen fuel. |
Cost | Higher cost than BEVs due to the more complex fuel cell technology. |
Range | Longer range than BEVs due to the fuel cell technology, but limited by the availability of hydrogen fuel. |
Environmental Impact | Low environmental impact due to the reduced emissions from the fuel cell and hydrogen fuel. |
Important Issue | ✓ Fuel cell price. ✓ Reliability and lifecycle. ✓ Facilities for hydrogen refueling and conditioning. |
Hybrid Electric Vehicles (HEV) | |
---|---|
Powertrain | Combines a gasoline or diesel engine with an electric motor and battery. |
Performance | Offers the best performance of all EV technologies, with good acceleration and top speed. |
Cost | Lowest cost of all EV technologies |
Range | Moderate range, with hybrid engines providing additional range. |
Environmental Impact | Medium environmental impact due to reducing emissions using the hybrid engine. |
Important Issue | ✓ Power management for sources with many inputs. ✓ Battery pack and ICE dimensions and weight. ✓ Overall price and complexity. |
Plug-in Hybrid Electric Vehicles (PHEV) | |
---|---|
Powertrain | Combines a gasoline or diesel engine with an electric motor and a larger battery that can be charged from an external power source. |
Performance | Offers good performance, with good acceleration, but lower top speed. |
Cost | Higher cost than HEVs due to the larger battery. |
Range | Extended range due to the larger battery and ability to charge from an external power source. |
Environmental Impact | Low environmental impact due to the reduced emissions from the hybrid engine and ability to charge from renewable energy sources. |
Important Issue | ✓ Consider the battery pack and ICE’s dimensions and weight. ✓ Infrastructure for charging and its effects on the grid. ✓ Management and controlling the power flow. |
Battery Electric Vehicles (BEV) | |
---|---|
Powertrain | Offers good acceleration and top speed, but limited range and high cost. |
Performance | Offers good acceleration and top speed, but limited range and high cost. |
Cost | Highest cost of all EV technologies due to the large battery and limited range. |
Range | Limited range due to the large battery and limited charging infrastructure. |
Environmental Impact | Low environmental impact due to the reduced emissions from the electric motor. |
Important Issue | ✓ Battery pack dimensions and weight. ✓ Performance of the vehicle. ✓ Stationary battery-charging infrastructure. |
Technology | Description | Pros | Cons |
---|---|---|---|
Hybrid Electric Vehicles (HEVs) | Features a combination of a conventional gasoline engine with an electric motor and battery. |
|
|
Plug-in Hybrid Electric Vehicles (PHEVs) | Combines a traditional internal combustion engine with an electric motor and battery, with the ability to charge the battery from a wall outlet. |
|
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Battery Electric Vehicles (BEVs) | BEVs are powered solely by electricity stored in rechargeable batteries. |
|
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Fuel Cell Electric Vehicles (FCEVs) | FCEVs are powered by electric motors that are fueled by a reaction between hydrogen and oxygen. |
|
|
Power Flow | Power Level | Cost | Pros | Cons | |
---|---|---|---|---|---|
Unidirectional Charger | One-way electric energy flow (basically, battery charging only). | Level 1, Level 2, Level 3. | Lower cost. |
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Bidirectional Charger | Two-way electrical energy flow and communication. | Expected only for Level 2. | High cost. |
|
|
On-Board Charger | Off-Board Charger | |
---|---|---|
Installation | Easier to install. | More complicated to install. |
Cost | Less expensive. | More expensive. |
Space | Less. | More. |
Efficiency | Lower. | Higher. |
Maintenance | Less. | More. |
Pros: |
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Cons: |
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Category | Charger | Charging Power Level | Charging Station Type | Charging Speed | Charging Duration | Capacity | Features | Price |
---|---|---|---|---|---|---|---|---|
Level 1 | Single port charger | 120 V (AC)—15 Amps | 120 V | 2–5 Miles | 8–10 Hours | Low | Standard features | Low |
Level 2 | Multi-port charger | 208–240 V (AC)—30 Amps | 240 V | 10–20 Miles | 3–4 Hours | Medium | Enhanced features | Medium |
Level 3 | Fast charger | 480 V (DC)—90 Amps | DC Fast Charger | 40–60 Miles | 30 Mins | High | Automation features | High |
AC Charging | |
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DC Charging | |
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Pros: | Cons: |
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Type of Connector | North America | China | Japan | EU | All Market except EU | India |
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AC Connector | ||||||
Plug Name | J1772 (Type-1) | GB/T | J1772 (Type-1) | Mennekes (Type-2) IEC62196-2 | Commando: IEC60309 Mennekes: IEC62196-2 | |
DC Connector | ||||||
Plug Name | CCS-1 | GB/T | CHAdeMO | CCS-2 | TESLA | GB/T, CHAdeMO, CCS-2 |
Single-Phase Charger | |
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Pros: | Cons: |
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Three-Phase Charger | |
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Pros | Cons |
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Charging Method | Crucial Factors | Advantage | Disadvantage |
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Constant Current (CC) | Changing current rate. | Easily adaptable. | Capacity utilization is low. |
Constant Voltage (CV) | Changing voltage rate. | Easily adaptable. | Responsible for the battery’s lattice collapsing. |
CC–CV | CC mode current rate modification. CV mode voltage rate modification. | Utilization of capacity is high. Consistent terminal voltage. | Balancing the charging rate, energy loss, and temperature change is difficult. |
MCC | The total number of CC stages. Current level at every stage of charging. | Quick charging and simple implementation. | The challenge lies in achieving a balance between charging speed, capacity utilization, and battery lifetime. |
Pulse Charging | Sequence of high-current-pulse operating mode. | Minimize energy loss, and reduce the risk of overcharging. | More expensive, and require specialized equipment |
Trickle Charging | Constant current charging. | Maintaining a healthy battery; convenience. | Can lead to overheating and risk of fire; expensive. |
Standalone Charging Infrastructure | |
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Advantages | Disadvantages |
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Grid-Connected-Based Charging Infrastructure | |
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Advantages | Disadvantages |
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Hybrid-Microgrid-Based EV Charging Infrastructure | |
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Advantages | Disadvantages |
Flexibility: Microgrid-based EV charging infrastructure that uses an AC/DC hybrid enables both AC and DC charging. This backs a variety of EV models and charging protocols. | Infrastructure Complexity: The AC/DC-hybrid-microgrid-based EV charging infrastructure includes several sources and technologies, which could complicate the system. Complexity may require more troubleshooting and maintenance skills. |
Better Efficiency: The hybrid microgrid architecture increases efficiency by incorporating renewable energy sources like solar and wind power into the charging infrastructure which in turn reduces the carbon emissions. | Higher Initial Costs: The initial investment in a hybrid microgrid architecture may be higher due to the need for DC fast chargers, energy storage devices, multiple energy sources, and grid control systems. |
Grid Stability: Hybrid microgrids locally produce and store energy, reducing grid strain. It improves grid stability by lowering peak demand and power oscillations. | Limited Availability: Because the AC/DC-hybrid-microgrid-based charging infrastructure is so new, it could not be generally accessible everywhere. |
Renewable-Energy-Based EV Charging Infrastructure | |
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Advantages | Disadvantages |
Environmental Benefits: Solar, wind, and hydro power generate clean electricity. EV charging utilizing renewable energy can minimize the transportation industry’s carbon footprint and help fight climate change. | Intermittency and Variability: Renewable energy is affected by weather and daylight hours. These factors may impair EV charging. Energy storage, smart grids, and demand response can reduce intermittency and guarantee EV charging with renewable energy. |
Energy Independence and Resilience: Renewable energy sources are abundant and produced domestically, reducing fossil fuel imports. Integrating renewable energy into EV charging infrastructure can boost energy independence and resilience to fossil fuel supply chain interruptions. | Infrastructure Requirements: A renewable-energy-based EV charging infrastructure requires heavy investment in power plants, power lines, and charging stations. Land availability, permitting, and stakeholder co-ordination can delay and increase the cost of renewable energy infrastructure expansion. |
Cost Savings: Renewable energy has become cheaper, approaching the level of fossil-fuel-based energy sources. When charging EVs with renewable power, net metering and time-of-use pricing can save users money. | Barriers to Grid Integration: Large-scale renewable energy integration may provide technical and operational hurdles. Grid management optimizes energy flows and system stability when EV charging patterns do not match renewable energy generation. |
Demand Management and Grid Stability: Renewable-energy-based EV charging infrastructure helps stabilize and reduce demand. Scheduled or subsidized EV charging during peak renewable energy generation optimizes power supply and demand. | Geographic Constraints: Renewable energy sources are not available everywhere. Due to sun, wind, and hydro power resource availability, renewable-energy-based EV charging infrastructure may not be viable or cost-effective in some places. |
Ref. No | Microgrid Type | On-Board Storage System | Energy Sources Connected | Charging Types | Control Strategy | V2G or V2V Charging | Pros | Cons | |
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Non-Renewable Sources | Renewable Sources | ||||||||
[35] | DC | Available | Diesel generators, utility grid | PV and Battery | Charging station | Co-ordinated control | Yes | Operating in both islanded and grid-connected mode in an efficient manner. | Variable dynamic condition results show several challenges. |
[90] | AC | Available | Diesel generators, utility grid | Solar | On-board | Load demand | Yes | Continuous power provided by backup generators. | Charger conversion requirements. |
[91] | DC | Not available | Utility grid | Wind | Off-board | Energy management | Yes | High-efficiency, bidirectional power flow. | Dependent on weather condition and grid. |
[92] | Hybrid | Available | Utility grid | PV and Wind | On-board | Power control | No | A charging converter with a high power density. | Grid stabilization is difficult due to demand. |
[93] | DC | Available | Utility grid | Solar | On-board | Power flow management | Yes | System computation time and efficiency are improved by the suggested strategies. | System efficiency in dynamic environments is challenging. |
[94] | DC | Not available | Utility grid | Solar | Off-board | DC link voltage | No | Distribution transformer upgrade not necessary. | Weakness in system stability due to absence of ESU. |
[95] | DC | Not available | Fuel cell, utility grid | Solar and Wind | Off-board | Genetic algorithm (GA) | Yes | This facilitates the planning of EV charging station parking. | No experimental validation is available. |
[96] | AC | Available | Utility grid | No | Off-board | Power control strategies | No | Infrastructure for fast charging is accessible. | Increased conversion losses due to the AC distribution network. |
[97] | DC | Available | Utility grid | Solar | Off-board | Sliding-mode-based control | Yes | Increases power quality and lessens reliance on the grid. | FLC-based DSTATCOM control at the PCC can be carried out in efficient way. |
[98] | DC | Not available | Utility grid | PV | On-board | Power control | No | Flexible infrastructure for EV charging. | Grid overload has an impact on stability. |
[99] | DC | Not available | Utility grid | PV | Off-board | Decentralized fuzzy-logic-based controller | Yes | Provides an uninterrupted and reliable power supply. V2G topology is supported by overall system. | System stability in dynamic condition is not explained. |
[100] | Hybrid | Available | Utility grid | PV | Off-board | PV and DC link power | Yes | Maximizes PV usage and boost grid reliability with V2G technologies. | High initial costs and more dependence on RES. |
[101] | DC | Available | Utility grid | PV | Off-board | Time-of-use adjustment method | Yes | PV and ESU improve the grid stability and efficiency of charging station. | High cost of implementation and more complex. |
Ref. No. | EV/Charging System | Energy Source | Objective | Energy Management Techniques | Experimental Steps Include | Review and Comments |
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[106] | On-board and off-board | Solar and grid | The proposed model makes use of the supplementary services offered by vehicle-to-grid (V2G) technology. | Adaptive real-time dynamic programming | Yes | By considering the dynamic tariff, actual PV data, and parking behavior of the vehicles, the cost reduction of EV charging is about 55% and 29% in the summer and winter, respectively. Optimization for PV-based EVCS is analyzed neglecting the departure time of EVs. |
[91] | Off-board | Solar, wind, and grid | To completely utilize the RE sources. | MPPT techniques with energy management | Yes | An innovative wind-powered charging station for EVs has been developed and deployed. This power outlet supports V2G communication. It helps in meeting the energy demand of electrical utility. But it does not consider the multiple RES. |
[107] | EV charging station | Wind | Co-ordinated scheduling approach for optimizing wind power absorption while taking thermal generator. | Parameter adaptive differential evaluation algorithm | No | Established co-ordinated scheduling of EV charging using wind power system absorption and reduced the charging cost and GHG emission. But it only considers the wind power system and does not consider hybrid renewal energy resources. |
[108] | Off-board | PV, battery, and grid | Efficient energy management approach for a solar-powered EV battery-charging facility to support distribution grids. | Optimal hybrid energy management | Yes | This study examines CHAdeMO-capable EVs. HPV-EVB charging system powers EVB from grid or HPV. V2G technology will reduce grid stress during peak demand with the energy management plan. In grid outage, the EVB can run vital residential loads. But overall analysis of system is performed for specific situation. |
[109] | Fast charging station | Grid | To improve the bus voltage profile in the presence of EVCSs in distribution network. | Mixed integer non-linear programming | No | Improvement in the voltage profile and reduction in power loss of the distribution grade is achieved considering DERs and the number of EVs. But only a few factors are considered, while the period and duration of charging are ignored. |
[100] | EV charging station | Solar, battery, and grid | Efficient energy management approach for hybrid-microgrid-based EV charging station. | Constant DC bus voltage-based energy management strategy | Yes | Energy management for multiple BEV charging and stable DC bus voltage is retained in PV system during utility grid overcrowding. The investigation excludes large voltage and power changes. |
[110] | On-board | Battery and ultra capacitor | The objective is to enhance battery longevity. | FL-based EMS | Yes | The goal is to make the hybrid system workable and to reduce the power peaks of the batteries so that they last longer in between charges. However, it only functions with converters with a specific input voltage range. |
[111] | EV charging station | Smart grid | Equilibrium of games scheduling and to achieve global energy cost minimization. | DSM based on game-theoretic energy consumption scheduling | No | Costs connected with using less energy are the target here. The goal is to balance the home power load, encourage user involvement, and engage users with the utility provider. It analyzes one energy source. Residential load management takes precedence over energy efficiency. |
[112] | EV charging station | PV, ESS, and gas micro turbine | Implementing central energy management at the grid level and local energy management at the consumer level. | Deterministic energy management system | Yes | Power planning involves arranging and controlling resources and decision making to reach certain goals. Renewable energy generation and projection was discussed. Central and local energy management, load balancing, and dispatching are of interest. Day-ahead power planning was discussed. |
[113] | EV charging station | PV, ESS, and grid | An intelligent energy management system is proposed to optimize a grid-connected solar-powered electric EVs charging station. | Intelligent energy management | Yes | This approach optimizes the utilization of photovoltaic (PV) power for EV charging while minimizing the potential impact of energy exchange on the electrical grid. The inclusion of the vehicle-to-grid technique is not accounted for in the comprehensive analysis. |
Ref. No. | Charging System Architecture | Energy Source | Control Techniques | Advantage | Disadvantage | Review and Comments |
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[116] | PEV charging with smart grid | Solar, wind, and grid | Model predictive control | Rapid dynamic responsiveness and mode switching. | Algorithm for converting linear models has limitations. | Creates a model predictive-control-based strategy for managing power and charging schedules for plug-in EVs in tandem to cut down on energy costs associated with charging and satisfying residential and vehicular power needs. |
[117] | Scheduled charging | Grid and battery | Frequency droop control | Stabilizes power system demand, supply, and frequency. Fault-tolerant, versatile, and low-maintenance. | Its model contains load disruptions, instability, and non-linearity. PID controllers may quickly stabilize load disturbances. | The suggested V2G control can meet varied charging demands including holding and raising battery energy levels, unlike existing approaches that require multiple V2G control strategies. Proposed methods guarantee EV charging with frequency regulating. |
[118] | Microgrid-based off-board charger | Solar, wind, battery, and diesel generator | Decentralized adaptive control | The suggested adaptive control strategy benefits both EVs and microgrids. Provides better SoC and reduces charging time. | More dependency on parameters, and more challenges in terms of scalability. | This research presents a unique decentralized adaptive control technique to govern EV contributions to primary frequency regulation in an islanded microgrid. The framework adjusts the droop parameter for microgrid and EV issues. The EV charger monitors frequency and adapts its contribution to load-generation balance changes. |
[119] | Hybrid-microgrid-based EV charging station | PV diesel generators and grid | Virtual synchronous machine control | Virtual inertia improves system stability and allows flexible control with many variables. Communication is unnecessary. | Complex controller implementation and parameter sensitivity cause non-linearity in its state space model. | The virtual synchronous generator (VSG) technique employing a CS to create inertia uses a fleet of EVs parked in the CS as energy storage for MG. The proposed strategy will be an effective answer for maintaining the regularity of an isolated MG. |
[120] | PEV charging with grid | Flywheel and grid | Droop-based hysteresis control | Optimizes the dynamic performance by controlling the peak-to-peak value of the current ripple. | Fluctuating frequency; delayed response in voltage fluctuation condition. | A hysteresis-type active power support approach from an FCS with the FESS was theoretically and empirically validated in this paper. The grid and FESS converters are not digitally connected while using droop-based DBS control. The approach effectively responds to system-level DSO signals without interrupting PEV battery-charging schedules. |
[121] | Two charging stations | PV, battery, and grid | Decentralized fuzzy logic control | Presents a robust response approach for addressing non-linear uncertainty in parameter variable systems. | Possessing a high level of expertise sensitivity. | This author proposes an MVDC bus-based DCM for charging stations (CSs). The key contribution is a novel decentralized control using fuzzy logic controllers as a decentralized EMS to manage the converters of two system components separately and co-ordinate power flow, MVDC voltage, and BESS SOC performance. |
[122] | Three 60 KW charging stations | PV, battery, and grid | Droop control techniques | Increases stability and power sharing | Unbalanced distributed generation impedance reduces load-sharing accuracy. | This work provides better decentralized virtual-battery-based droop control with bus voltage maintenance, load power dispatch, and energy storage system (ESS) SOC balance for autonomous and stable DC microgrid operation. The PV–ESS–grid integrated system’s core bus-signalling control switches PV array and grid control modes based on the ESS’s virtual OCV. |
[123] | EV charging station | PV and grid | Multi-agent-based decentralized scheduling algorithm | Controls a vast area and can boost grid resiliency and meet grid requirements in real time. | Requires two-way communication between agents and utilities and significant EV user authorization. | This paper offers a decentralized scheduling framework for charging EVs based on MAS, the charging control model. The MAS has “responsive” or “unresponsive” EV agents as well as an EV/DG aggregator agent. Based on forecasts of power consumption and generation, the EV/DG aggregator agent creates the virtual pricing strategy to maximize profit. |
[124] | DC-microgrid-based EV charger | PV and battery | Droop and master–slave control strategy | The system stability is enhanced when compared to using only a conventional master control or conventional droop control scheme. | More dependency on solar energy; constant DC bus voltage maintaining is challenging task. | This work proposes an EVCS combination control method that combines the benefits of droop and master control strategies. An isolated bidirectional DC–DC converter, snubber circuits, and a three-level boost converter with capacitance-voltage control further improve system stability. |
Impact of EV Integration | |
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Voltage Stability [140] | EV charging has peculiar load properties when compared to conventional loads. EV integration may have a negative effect on the stability of the grid’s voltage depending on the area, level of penetration, and EV charging time. |
Frequency Stability [141] | The level of load demand is raised by the unknowns around the EV connection site, penetration level, and connection and disconnection timeframes. As a result, the grid’s frequency stability can be compromised. EVs can function as controlled loads and take part in frequency regulation of the grid with a faster ramp rate and ancillary services. |
Oscillatory Stability [142] | When compared to traditional loads, an EV load has quite distinct properties. The properties of negative exponential EV loads affect the power system’s oscillatory stability more than those of normal system loads. |
Increase in Peak Load [143] | EVs can considerably increase grid demand, especially during peak charging hours. Peak load rise is affected by the number of EVs, charging behavior, and charging infrastructure. The widespread deployment of EVs is expected to increase peak electricity demand. Some reports studied the implications of EV charging on the US electricity system. EV adoption might increase nighttime peak electricity demand by 30%. |
Transformer Aging [144] | Transformers are vital to electrical infrastructure, and EV charging can hasten their aging. If EV charging demand rises, transformer maintenance or replacements may cost more. A case study in a city with widespread EV use examined how EV charging affected transformer aging. Compared to sites with low EV charging demand, locations with more EVs increased transformer aging by up to 15%. |
Challenges | Remarks |
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Fluctuation in Voltage | The level of integration and charging rate of EVs have a significant impact on voltage fluctuations. The effect grows with both the rate of charging and the amount of people who are being charged. |
Voltage Swell | The increased use of single-phase charging for EVs has a larger effect on voltage imbalance. It may cause the grid voltage stability. |
Losses | Unregulated and single-phase EV charging systems cause more power loss. Increased EV penetration leads to overloading and power losses in distribution transformers. |
Harmonic | The impact of EV penetration on harmonics varies with the level of penetration, and grows with both the level of penetration and the charging rate. Additionally, uncontrolled EV charging leads to an increase in harmonics. |
Frequency Imbalance | The impact of integration and penetration of a large number of EVs leads to the considerable change in frequency mismatch. The uncoordinated way of charging of the large number of EVs leads to frequency imbalance of the grid. |
Condition | Solution | Advantage | Drawback |
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If there is large-scale EV integration with grid | Large-capacity energy storage systems (ESSs) | Large-capacity energy storage systems enhance system efficiency in variable dynamic conditions. Additionally, the system offers load balancing functionality and the ability to rapidly charge. | Large-capacity energy storage systems (ESSs) can mitigate these problems, but are very expensive due to the requirement for a high-capacity battery bank. |
If there is large-scale EV integration with grid | High-efficiency integration infrastructures for EVs | High-efficiency integration infrastructures offer rapid charging capabilities while enhancing the scalability and flexibility of the system. Additionally, it is necessary to enhance energy management. | The parallel structure facilitates expansion of the system, but makes it difficult to co-ordinately control a fleet of EVs. In addition, the two-stage power conversion with DC/DC and AC/DC converters in the bus-based scheme results in reduced efficiency. |
If there is large-scale EV integration with grid | Multi-port integration scheme | The integration of a multi-port scheme enhances charging flexibility, optimizes grid utilization, reduces infrastructure costs, and increases system scalability. | The multi-port converter is usually realized by using multi-winding transformer or reusing energy storage inductor; therefore, the number of ports is not easy to be expanded due to the complexity of the transformer with multi-windings. Also, grid stability and maintaining the power quality is challenging task. |
If there is large-scale EV integration with grid | Modular multilevel converter-based EV integration system | The modular multilevel converter-based EV integration system is known for its high efficiency and grid-friendly operation. The objective is to enhance power quality and increase system flexibility. | A multi-objective power management strategy is necessary, resulting in increased complexity. Additionally, they are facing a system integration challenge. One of the challenges in the scheme is the cost and space required for implementation. |
If there is large-scale EV integration with grid | Co-ordinated charging infrastructure | Co-ordinated charging offers improved load regulation and enables demand response capabilities to the system. Additionally, it has the capability to seamlessly integrate with RES in an efficient manner. | The implementation complexity is high and it also necessitates additional infrastructure. The user perspective poses increased difficulty, while ensuring data privacy remains a significant challenge. |
If there is large-scale EV integration with grid | Vehicle-to-grid technology | The implementation of vehicle-to-grid technology offers a solution to alleviate congestion during peak hours and improve the overall reliability of the system. Additionally, it facilitates grid integration with renewable energy sources (RESs) and offers potential revenue generation opportunities. | At present, the majority of the charging infrastructure lacks the capability to support vehicle-to-grid technology. Additionally, numerous technical complexities are associated with its implementation. Ensuring user convenience and compliance with regulations and policies poses a significant challenge. |
Harmful Impact | Possible Remedies |
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Power Quality Issues |
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Increase in Power Losses |
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Increase in Peak Demand |
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Transformer Overloading |
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Voltage Instability |
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Challenge | Possible Solution |
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Limited Acceptance of EVs |
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Range Anxiety Possible |
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Limited Charging Infrastructure |
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High Cost of EVs |
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Limited Alternative use of EVs |
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EV Adoption Forecasting Models |
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Cyber Security Challenge |
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EV Battery Second Life |
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Kumar, M.; Panda, K.P.; Naayagi, R.T.; Thakur, R.; Panda, G. Comprehensive Review of Electric Vehicle Technology and Its Impacts: Detailed Investigation of Charging Infrastructure, Power Management, and Control Techniques. Appl. Sci. 2023, 13, 8919. https://doi.org/10.3390/app13158919
Kumar M, Panda KP, Naayagi RT, Thakur R, Panda G. Comprehensive Review of Electric Vehicle Technology and Its Impacts: Detailed Investigation of Charging Infrastructure, Power Management, and Control Techniques. Applied Sciences. 2023; 13(15):8919. https://doi.org/10.3390/app13158919
Chicago/Turabian StyleKumar, Madhav, Kaibalya Prasad Panda, Ramasamy T. Naayagi, Ritula Thakur, and Gayadhar Panda. 2023. "Comprehensive Review of Electric Vehicle Technology and Its Impacts: Detailed Investigation of Charging Infrastructure, Power Management, and Control Techniques" Applied Sciences 13, no. 15: 8919. https://doi.org/10.3390/app13158919
APA StyleKumar, M., Panda, K. P., Naayagi, R. T., Thakur, R., & Panda, G. (2023). Comprehensive Review of Electric Vehicle Technology and Its Impacts: Detailed Investigation of Charging Infrastructure, Power Management, and Control Techniques. Applied Sciences, 13(15), 8919. https://doi.org/10.3390/app13158919