Advancing Sustainable Transportation Education: A Comprehensive Analysis of Electric Vehicle Prototype Design and Fabrication
Abstract
:1. Introduction
- Comprehensive Framework: We present a holistic approach to designing and fabricating educational EV prototypes, integrating theoretical knowledge with hands-on practical experience. This framework bridges the gap between classroom learning and real-world application in EV engineering.
- Interdisciplinary Integration: Our methodology uniquely combines elements from mechanical, electrical, and software engineering, providing a multi-faceted approach to EV prototype development that is often lacking in more specialized studies.
- Safety-Centric Design: We introduce novel safety features specifically tailored for educational prototypes, addressing a critical gap in the existing literature which often focuses on commercial EV development.
- Pedagogical Impact Analysis: Unlike many technical papers, we provide an in-depth analysis of the educational impact of EV prototype projects, offering valuable insights for curriculum development in engineering programs.
- Scalable and Adaptable Model: Our approach is designed to be scalable and adaptable to various educational settings, filling a gap in the literature for flexible, education-focused EV prototype development methodologies.
2. The Evolution of Electric Vehicles
- The superior energy density and convenience of liquid fuels compared to early battery technology.
- Challenges in developing large, efficient, and cost-effective electric batteries or accumulators.
- Limited range and lack of charging infrastructure for electric vehicles.
2.1. Historical Development of EVs
2.2. Modern Advancements and Trends in EV Technology
2.3. The Role of Educational Institutions in the EV Revolution
3. Impact of Educational EV Prototype Projects on Engineering Education
3.1. Enhancing Hands-On Learning Experiences
3.2. Fostering Interdisciplinary Collaboration and Teamwork
3.3. Developing Problem-Solving and Critical Thinking Skills
3.4. Promoting Sustainability and Environmental Awareness
4. Design and Fabrication Methodologies for Educational EV Prototypes
4.1. Conceptual Design and Systems Engineering Approach
4.1.1. Holistic Systems Engineering Approach
- Stakeholder Analysis: Students identify and analyze the needs of various stakeholders, including drivers, manufacturers, and regulators [71].
- Interface Management: Students learn to define and manage interfaces between subsystems, crucial for successful integration.
- Trade-off Analysis: Teams conduct trade-off studies to balance competing requirements such as performance, cost, and sustainability [74].
4.1.2. Enhancing Interdisciplinary Understanding
- Systems Thinking: Students develop a holistic view of EVs, understanding how decisions in one area impact the entire system [75].
- Cross-Disciplinary Communication: Working in diverse teams, students learn to communicate complex ideas across disciplinary boundaries.
- Integrated Problem-Solving: Challenges are addressed from multiple perspectives, leading to more innovative and comprehensive solutions.
- Lifecycle Consideration: Students consider the entire lifecycle of the EV, from design and manufacturing to use and end-of-life recycling [76].
4.1.3. Novel Educational Tools and Frameworks
4.1.4. Preparing Students for Real-World Challenges
- Industry-Aligned Processes: The systems engineering approach mirrors methodologies used in leading EV companies, giving students relevant experience.
- Scalable Complexity: Projects start simple and progressively increase in complexity, allowing students to tackle more challenging aspects as their skills develop [79].
- Constraint-Based Design: Students work within realistic constraints (e.g., budget, time, available materials), simulating real-world project conditions.
- Iterative Development: The process encourages multiple design iterations, teaching students to refine their ideas based on testing and feedback.
- Ethical Considerations: The approach incorporates discussions on the ethical implications of EV design decisions, preparing students for the broader impact of their work.
4.2. Advanced Modeling and Simulation Techniques
4.2.1. Advanced CAD Tools and Simulation Software
- SolidWorks: For the 3D modeling of mechanical components and assemblies.
- ANSYS: For the finite element analysis (FEA) of structural components and thermal management systems. Figure 7 displays the results of the crash test simulation, showing the total deformation of the vehicle chassis and the wall after the simulated collision. The color gradient represents the extent of deformation, with red indicating areas of maximum displacement and blue showing minimal movement. The chassis exhibits controlled deformation in the front crumple zone, while the passenger compartment (shown in cooler colors) maintains its structural integrity, demonstrating the effectiveness of the safety design.
- MATLAB/Simulink: For system-level modeling and control algorithm development.
4.2.2. Electric Powertrain Design and Simulation
- Motor Selection and Modeling: Students use MATLAB/Simulink to model various motor types (e.g., PMSM, induction motors) and select the optimal motor for their design based on efficiency, torque–speed characteristics, and cost [85].
- Battery Pack Design: Using our custom Battery Pack Designer tool, students model battery cell arrangements, considering factors like capacity, voltage, thermal management, and pack geometry [86].
- Power Electronics Simulation: LTspice is used to design and simulate power electronic circuits, including motor drives and DC-DC converters.
- Energy Management Strategies: Students develop and test various energy management algorithms using Simulink, optimizing for factors like range, performance, and battery longevity [87].
- Regenerative Braking Simulation: A custom Simulink model allows students to design and optimize regenerative braking systems, analyzing energy recovery under various driving conditions.
4.2.3. Innovative Tools and Methods for System Optimization
- EV Performance Predictor: A machine learning-based tool that predicts EV performance based on input parameters, helping students understand the impact of design choices.
- Virtual Drive Cycle Simulator: An immersive simulator that allows students to test their EV designs in various virtual environments and driving conditions.
- Multi-Objective Optimization Framework: A custom framework that guides students through the process of balancing competing objectives (e.g., range, cost, performance) using advanced optimization techniques.
- Real-Time Co-Simulation Platform: A platform that combines physical hardware with virtual models, allowing students to test control algorithms on a mix of real and simulated components.
4.3. Sustainable Materials and Modular Design for Educational Flexibility
- Lifecycle Assessment (LCA) Integration: Students use simplified LCA tools to evaluate the environmental impact of materials across their entire lifecycle.
- Material Sustainability Index: A custom-developed index rates materials based on factors such as recyclability, energy intensity of production, and scarcity.
- Local Sourcing Emphasis: Priority is given to locally sourced materials to reduce transportation emissions and support local economies.
- Biomimicry Principles: Students are encouraged to explore bio-inspired materials and designs, learning from nature’s sustainable solutions.
- Recycled and Upcycled Materials: The incorporation of recycled materials is mandatory in non-critical components, teaching students about circular economy principles.
4.3.1. Sustainable Material Selection Methodology
- Material Sustainability Index: A custom-developed index that rates materials based on factors such as recyclability, energy intensity of production, and scarcity.
- Local Sourcing Emphasis: Priority is given to locally sourced materials to reduce transportation emissions and support local economies.
- Biomimicry Principles: Students are encouraged to explore bio-inspired materials and designs, learning from nature’s sustainable solutions.
- Recycled and Upcycled Materials: The incorporation of recycled materials is mandatory in non-critical components, teaching students about circular economy principles.
4.3.2. Modular Design Approach
- Standardized Interfaces: All major components use standardized interfaces, allowing for the easy swapping and testing of different designs.
- Plug-and-Play Subsystems: Key subsystems (e.g., battery packs, motor controllers) are designed as self-contained units that can be easily replaced or upgraded.
4.3.3. Educational Value Enhancement
- Hands-on Sustainability Learning: Students directly experience the challenges and benefits of sustainable design.
- Iterative Learning: The modular approach allows students to easily test different configurations, promoting experiential learning.
- Systems Thinking: Students learn to consider both component-level sustainability and system-level performance.
- Future-Proofing Skills: This approach prepares students for the growing emphasis on sustainability in the automotive industry.
4.4. Safety Integration and Validation Protocols
- Layered Safety Architecture: We implement multiple, redundant safety systems that mimic industry best practices. This includes primary, secondary, and tertiary safety measures for critical systems like the battery management system, drive controls, and passenger protection features.
- FMEA in Design Process: Failure Mode and Effects Analysis is integrated throughout the design process. Students systematically identify potential failure modes, their causes, and effects, then develop mitigation strategies. This proactive approach helps anticipate and address safety issues before they occur.
- Smart Battery Management System (BMS): Our custom-designed BMS includes advanced safety features such as:
- Real-time cell monitoring for voltage, temperature, and current;
- Predictive fault detection using machine learning algorithms;
- Automatic cell balancing to prevent overcharging and extend battery life;
- Thermal management with active cooling systems.
- High-Voltage Isolation System: This system ensures safe handling of high-voltage components and includes:
- Continuous insulation monitoring;
- Automatic power disconnection in case of faults;
- Clearly marked high-voltage zones and safety interlocks.
- Active Safety Systems Integration: Students implement and test various active safety systems, including:
- Traction control and stability control systems;
- Emergency braking systems with pedestrian detection;
- Lane departure warning and assistance systems.
4.4.1. Safety Education and Implementation
- Safety-First Design Philosophy: All design decisions are evaluated through a safety lens first [95].
- Regular Safety Workshops: Conducted by industry experts to keep students updated on the latest EV safety standards and practices [96].
- Virtual Reality Safety Simulations: Students experience potential safety hazards and learn proper procedures in a safe, virtual environment.
- Design for Safety Competitions: Regular challenges where student teams compete to design the safest solutions for given EV subsystems.
4.4.2. Validation and Testing Approach
- Student-Developed Test Plans: Under guidance, students develop detailed test plans for each subsystem and the integrated prototype.
- Phased Testing Approach: Testing progresses from component-level to subsystem-level to full vehicle integration tests.
- Hardware-in-the-Loop (HIL) Testing: Extensive use of HIL testing for electronic and control systems before physical integration.
- Environmental Chamber Testing: Students conduct tests in a custom environmental chamber to validate performance under various conditions.
4.4.3. Novel Safety Features and Testing Methods
- AI-Enhanced Fault Prediction System: A machine learning model that predicts potential faults based on real-time sensor data.
- Modular Safety Interlock System: A reconfigurable system allowing students to design and test various safety interlock strategies.
- Augmented Reality-Assisted Assembly Verification: An AR system that guides and verifies the correct assembly of safety-critical components.
- Biometric Driver Monitoring System: An advanced system to monitor driver alertness and take appropriate safety actions.
- Gamified Safety Protocol Adherence: A point-based system rewarding students for consistently following safety protocols during the project.
- By implementing these comprehensive approaches to sustainable design, modularity, safety integration, and validation, we ensure that students gain practical, industry-relevant experience while prioritizing safety and sustainability in EV development.
5. Challenges and Opportunities in Educational EV Prototype Projects
5.1. Resource Limitations and Budget Constraints
5.2. Technical Complexities and Skill Gaps
5.3. Time Management and Project Planning
5.4. Collaboration with Industry Partners
5.5. Incorporating Emerging Technologies and Trends
6. Future Directions and Research Opportunities
7. Conclusions
- Hands-on learning experiences through EV prototype projects help students develop practical skills, problem-solving abilities, and a deep understanding of EV technologies.
- Engaging in the design and fabrication of EV prototypes exposes students to real-world engineering challenges and enables them to apply theoretical concepts to practical situations.
- Educational EV prototype projects foster interdisciplinary collaboration, teamwork, and project management skills, which are highly valued by employers in the EV industry.
Author Contributions
Funding
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
- Yu, P.; Li, M.; Wang, Y.; Chen, Z. Fuel cell hybrid electric vehicles: A review of topologies and energy management strategies. World Electr. Veh. J. 2022, 13, 172. [Google Scholar] [CrossRef]
- He, T.; Zhu, Z.; Eastham, F.; Wang, Y.; Bin, H.; Wu, D.; Gong, L.; Chen, J. Permanent magnet machines for high-speed applications. World Electr. Veh. J. 2022, 13, 18. [Google Scholar] [CrossRef]
- Guo, Y.; Liu, L.; Ba, X.; Lu, H.; Lei, G.; Yin, W.; Zhu, J. Designing high-power-density electric motors for electric vehicles with advanced magnetic materials. World Electr. Veh. J. 2023, 14, 114. [Google Scholar] [CrossRef]
- Yang, T.; Chau, K.T.; Liu, W.; Ching, T.W.; Cao, L. Comparative analysis and design of double-rotor stator-permanent-magnet motors with magnetic-differential application for electric vehicles. World Electr. Veh. J. 2022, 13, 199. [Google Scholar] [CrossRef]
- Abdelkefi, A.; Souissi, A.; Abdennadher, I.; Masmoudi, A. On the analysis and torque enhancement of flux-switching permanent magnet machines in electric power steering systems. World Electr. Veh. J. 2022, 13, 64. [Google Scholar] [CrossRef]
- Zhang, W.; Liu, Z.; Chen, Q. Electronic differential system based on adaptive SMC combined with QP for 4WID electric vehicles. World Electr. Veh. J. 2021, 12, 126. [Google Scholar] [CrossRef]
- Fijalkowski, B.T. Electro-mechanical differentials for reduction of self-generated wind-up torques in DBW AWD propulsion mechatronic control systems. World Electr. Veh. J. 2009, 3, 606–617. [Google Scholar] [CrossRef]
- Liu, C.; Chau, K.; Zhong, J. Development of a smart DC micro-grid for plug-in electric vehicle charging and discharging. World Electr. Veh. J. 2010, 4, 939–942. [Google Scholar] [CrossRef]
- Ahmed, A.A.; Ramadan, H.S. Prototype implementation of advanced electric vehicles drivetrain system: Verification and validation. Appl. Energy 2020, 266, 114807. [Google Scholar] [CrossRef]
- Adegbite, A.O.; Nwasike, C.N.; Nwaobia, N.K.; Gidiagba, J.O.; Enabor, O.T.; Dawodu, S.O.; Adefemi, A.; Ezeigweneme, C.A. Modern electric motors: A review of sustainable design and maintenance principles: Scrutinizing the latest trends focusing on motor efficiency, sustainability, recyclability, and reduced maintenance. World J. Adv. Res. Rev. 2023, 20, 1198–1211. [Google Scholar] [CrossRef]
- Tran, Q.N. What Contribute to the Growth of EV Automakers’ Valuation? The Case of Tesla and Nio. Int. J. Econ. Financ. 2023, 15, 1–35. [Google Scholar] [CrossRef]
- Bhatti, G.; Mohan, H.; Singh, R.R. Towards the future of smart electric vehicles: Digital twin technology. Renew. Sustain. Energy Rev. 2021, 141, 110801. [Google Scholar] [CrossRef]
- Sumitkumar, R.; Al-Sumaiti, A.S. Shared autonomous electric vehicle: Towards social economy of energy and mobility from power-transportation nexus perspective. Renew. Sustain. Energy Rev. 2024, 197, 114381. [Google Scholar] [CrossRef]
- Naseri, F.; Gil, S.; Barbu, C.; Çetkin, E.; Yarimca, G.; Jensen, A.C.; Larsen, P.G.; Gomes, C. Digital twin of electric vehicle battery systems: Comprehensive review of the use cases, requirements, and platforms. Renew. Sustain. Energy Rev. 2023, 179, 113280. [Google Scholar] [CrossRef]
- Tell, J.; Hoveskog, M. Applied engineering education for soft skills in the context of sustainability and mobility. Int. J. Sustain. High. Educ. 2022, 23, 324–336. [Google Scholar] [CrossRef]
- Hossain, M.S.; Kumar, L.; Islam, M.M.; Selvaraj, J. A comprehensive review on the integration of electric vehicles for sustainable development. J. Adv. Transp. 2022, 1–26. [Google Scholar] [CrossRef]
- Jothimani, K.; Hemalatha, S.; Karthikeyan, K. The futuristic trends for modern electric vehicles. In Artificial Intelligence-Empowered Modern Electric Vehicles in Smart Grid Systems; Elsevier: Amsterdam, The Netherlands, 2024; pp. 441–476. [Google Scholar]
- Ryghaug, M.; Ryghaug, M.; Skjølsvold, T.M.; Skjølsvold, T.M. How policies and actor strategies affect electric vehicle diffusion and wider sustainability transitions. Proc. Natl. Acad. Sci. USA 2023, 120, e2207888119. [Google Scholar] [CrossRef] [PubMed]
- Zhang, W.; Fang, X.; Sun, C. The alternative path for fossil oil: Electric vehicles or hydrogen fuel cell vehicles? J. Environ. Manag. 2023, 341, 118019. [Google Scholar] [CrossRef]
- Gupta, A.; Kumar, H. Multi-dimensional perspectives on electric vehicles design: A mind map approach. Clean. Eng. Technol. 2022, 8, 100483. [Google Scholar] [CrossRef]
- Patel, A.K. Evaluating the Environmental and Economic Benefits of Electric and Hybrid Vehicles in Renewable Energy Grids. J. Harbin Eng. Univ. 2023, 44, 1013–1025. [Google Scholar]
- Xu, L.; Zhu, X.; Fan, W.; Zhang, C.; Zhang, L.; Quan, L. Comparative analysis and design of partitioned stator hybrid excitation axial flux switching pm motors for in-wheel traction applications. IEEE Trans. Energy Convers. 2022, 37, 1416–1427. [Google Scholar] [CrossRef]
- Sabioni, C.L.; Ribeiro, M.F.O.; Vasconcelos, J.A. Robust design of an axial-flux permanent magnet synchronous generator based on many-objective optimization approach. IEEE Trans. Magn. 2018, 54, 8101704. [Google Scholar] [CrossRef]
- Li, H.; Zhu, Z.Q. Investigation of stator slot/rotor pole combination of flux reversal permanent magnet machine with consequent pole PM structure. J. Eng. 2019, 2019, 4267–4272. [Google Scholar] [CrossRef]
- Li, H.; Zhu, Z.Q.; Hua, H. Comparative analysis of flux reversal permanent magnet machines with toroidal and concentrated windings. IEEE Trans. Ind. Electron. 2020, 67, 5278–5290. [Google Scholar] [CrossRef]
- Tu, Y.; Lin, M.; Lin, K.; Kong, Y.; Xu, D. Comprehensive comparison of two fault tolerant axial field modular flux-switching permanent magnet machines with different stator and rotor pole-pairs combinations. Machines 2022, 10, 201. [Google Scholar] [CrossRef]
- Du, Y.; Mao, Y.; Xiao, F.; Zhu, X.; Sun, Y.; Quan, L. A pole-changing doubly salient permanent magnet motor. IEEE Trans. Transp. Electrif. 2022, 8, 2479–2489. [Google Scholar] [CrossRef]
- Huang, L.; Zhu, Z.Q.; Feng, J.; Guo, S.; Shi, J.X.; Chu, W. Analysis of stator/rotor pole combinations in variable flux reluctance machines using magnetic gearing effect. IEEE Trans. Ind. Appl. 2019, 55, 1495–1504. [Google Scholar] [CrossRef]
- Cao, L.; Chau, K.T.; Lee, C.H.T.; Wang, H. A double-rotor flux-switching permanent-magnet motor for electric vehicles with magnetic differential. IEEE Trans. Ind. Electron. 2021, 68, 1004–1015. [Google Scholar] [CrossRef]
- Yang, T.; Chau, K.T.; Ching, T.W.; Zhao, H.; Wang, H. A magnetic-differential double-rotor flux-reversal permanent-magnet motor for electric vehicles. In Proceedings of the 2021 24th International Conference on Electrical Machines and Systems (ICEMS), Gyeongju, Republic of Korea, 31 October–3 November 2021; pp. 1228–1232. [Google Scholar]
- Cukierman, U.R.; Palmieri, J.M. Soft skills in engineering education: A practical experience in an undergraduate course. In Proceedings of the 2014 International Conference on Interactive Collaborative Learning (ICL), Dubai, United Arab Emirates, 3–6 December 2014; pp. 237–242. [Google Scholar]
- Yin, W.; Dong, Z.Y.; Liu, L.; Rui, X. Self-Stabilising Speed Regulating Differential Mechanism for Continuously Variable Speed Wind Power Generation System. IET Renew. Power Gener. 2020, 14, 3002–3009. [Google Scholar] [CrossRef]
- Bošnjaković, M.; Katinić, M.; Santa, R.; Marić, D. Wind Turbine Technology Trends. Appl. Sci. 2022, 12, 8653. [Google Scholar] [CrossRef]
- Shafiullah, M.D.; Ahmed, S.D.; Al-Sulaiman, F.A. Grid Integration Challenges and Solution Strategies for Solar PV Systems: A Review. IEEE Access 2022, 10, 52233–52257. [Google Scholar] [CrossRef]
- Su, W.; Rahimi-Eichi, H.; Zeng, W.; Chow, M.-Y. A Survey on the Electrification of Transportation in a Smart Grid Environment. IEEE Trans. Ind. Inform. 2012, 8, 1–10. [Google Scholar] [CrossRef]
- Viswanath, A.; Farid, A.M. A Hybrid Dynamic System Model for the Assessment of Transportation Electrification. In Proceedings of the 2014 American Control Conference—ACC, Portland, OR, USA, 4–6 June 2014; pp. 4617–4623. [Google Scholar]
- Arias-Londono, A.; Gil-Gonzalez, W.; Montoya, O. A Linearized Approach for the Electric Light Commercial Vehicle Routing Problem Combined with Changing Station Siting and Power Distribution Network Assessment. Appl. Sci. 2021, 11, 4870. [Google Scholar] [CrossRef]
- Fernandes, J.F.P.; Bhagubai, P.P.C.; Branco, P.J.C. Recent Developments in Electrical Machine Design for the Electrification of Industrial and Transportation Systems. Energies 2022, 15, 6390. [Google Scholar] [CrossRef]
- Lin, J.; Schofield, N.; Emadi, A. External-Rotor $6–10$ Switched Reluctance Motor for an Electric Bicycle. IEEE Trans. Transp. Electrif. 2015, 1, 348–356. [Google Scholar] [CrossRef]
- Yang, Y.; Rahman, M.M.; Lambert, T.; Bilgin, B.; Emadi, A. Development of an External Rotor V-Shape Permanent Magnet Machine for E-Bike Application. IEEE Trans. Energy Convers. 2018, 33, 1650–1658. [Google Scholar] [CrossRef]
- Son, J.-C.; Lim, D.-K. Novel Stator Core of the Permanent Magnet Assisted Synchronous Reluctance Motor for Electric Bicycle Traction Motor Using Grain-Oriented Electrical Steel. In Proceedings of the 2021 24th International Conference on Electrical Machines and Systems (ICEMS), Gyeongju, Republic of Korea, 31 October–3 November 2021; pp. 1215–1218. [Google Scholar]
- Contò, C.; Bianchi, N. E-Bike Motor Drive: A Review of Configurations and Capabilities. Energies 2023, 16, 160. [Google Scholar] [CrossRef]
- Zhu, Z.Q.; Howe, D. Electrical Machines and Drives for Electric, Hybrid, and Fuel Cell Vehicles. Proc. IEEE 2007, 95, 746–765. [Google Scholar] [CrossRef]
- Takahashi, T.; Takemoto, M.; Ogasawara, S.; Hino, W.; Takezaki, K. Size and Weight Reduction of an In-Wheel Axial-Gap Motor Using Ferrite Permanent Magnets for Electric Commuter Cars. IEEE Trans. Ind. Appl. 2017, 53, 3927–3935. [Google Scholar] [CrossRef]
- Sun, X.; Shi, Z.; Lei, G.; Guo, Y.; Zhu, J. Analysis and Design Optimization of a Permanent Magnet Synchronous Motor for a Campus Patrol Electric Vehicle. IEEE Trans. Veh. Technol. 2019, 68, 10535–10544. [Google Scholar] [CrossRef]
- Sun, X.; Shi, Z.; Cai, Y.; Lei, G.; Guo, Y.; Zhu, J. Driving-Cycle-Oriented Design Optimization of a Permanent Magnet Hub Motor Drive System for a Four-Wheel-Drive Electric Vehicle. IEEE Trans. Transp. Electrif. 2020, 6, 1115–1125. [Google Scholar] [CrossRef]
- Bruzinga, G.R.; Filho, A.J.S.; Pelizari, A. Analysis and Design of 3 kW Axial Flux Permanent Magnet Synchronous Motor for Electric Car. IEEE Lat. Am. Trans. 2022, 20, 855–863. [Google Scholar] [CrossRef]
- Ritari, A.; Vepsäläinen, J.; Kivekäs, K.; Tammi, K.; Laitinen, H. Energy Consumption and Lifecycle Cost Analysis of Electric City Buses with Multispeed Gearboxes. Energies 2020, 13, 2117. [Google Scholar] [CrossRef]
- Credo, A.; Fabri, G.; Villani, M.; Popescu, M. Adopting the Topology Optimization in the Design of High-Speed Synchronous Reluctance Motors for Electric Vehicles. IEEE Trans. Ind. Appl. 2020, 56, 5429–5438. [Google Scholar] [CrossRef]
- Prakht, V.; Dmitrievskii, V.; Kazakbaev, V.; Oshurbekov, S.; Ibrahim, M.N. Optimal Design of a Novel Three-Phase High-Speed Flux Reversal Machine. Appl. Sci. 2019, 9, 3822. [Google Scholar] [CrossRef]
- Cui, W.; Ren, L.; Zhou, J.; Zhang, Q. A New IPMSM With Hybrid Rotor Structure for Electrical Vehicle With Reduced Magnet Loss. IEEE Trans. Magn. 2022, 58, 1–6. [Google Scholar] [CrossRef]
- Mashrouteh, S.; Khajepour, A.; Kasaiezadeh, A.; Esmailzadeh, E.; Chen, S.-K.; Litkouhi, B. Multi-Actuation Controller for Performance Vehicles: Optimal Torque Allocation and Active Aerodynamic. IEEE Trans. Veh. Technol. 2022, 71, 2721–2733. [Google Scholar] [CrossRef]
- Credo, A.; Villani, M.; Fabri, G.; Popescu, M. Adoption of the Synchronous Reluctance Motor in Electric Vehicles: A Focus on the Flux Weakening Capability. IEEE Trans. Transp. Electrif. 2023, 9, 805–818. [Google Scholar] [CrossRef]
- Graber, G.; Galdi, V.; Calderaro, V.; Piccolo, A. A Flexible Prototype for Testing Advanced Energy Management Solutions in Full Electric Vehicles. In Proceedings of the 2017 IEEE Vehicle Power and Propulsion Conference (VPPC), Belfort, France, 11–14 December 2017; pp. 1–5. [Google Scholar]
- Sarker, P.C.; Guo, Y.; Lu, H.Y.; Zhu, J.G. A Generalized Inverse Preisach Dynamic Hysteresis Model of Fe-Based Amorphous Magnetic Materials. J. Magn. Magn. Mater. 2020, 514, 167290. [Google Scholar] [CrossRef]
- Li, T.; Zhang, Y.; Liang, Y.; Ai, Q.; Dou, H. Multiphysics Analysis of an Axial-Flux In-Wheel Motor With an Amorphous Alloy Stator. IEEE Access 2020, 8, 27414–27425. [Google Scholar] [CrossRef]
- Fan, Z.; Yi, H.; Xu, J.; Xie, K.; Qi, Y.; Ren, S.; Wang, H. Performance Study and Optimization Design of High-Speed Amorphous Alloy Induction Motor. Energies 2021, 14, 2468. [Google Scholar] [CrossRef]
- Ahmed, N.; Atkinson, G.J. A Review of Soft Magnetic Composite Materials and Applications. In Proceedings of the 2022 International Conference on Electrical Machines (ICEM), Valencia, Spain, 5–8 September 2022; pp. 551–557. [Google Scholar]
- Guo, Y.; Ba, X.; Liu, L.; Lu, H.; Lei, G.; Yin, W.; Zhu, J. A Review of Electric Motors with Soft Magnetic Composite Cores for Electric Drives. Energies 2023, 16, 2053. [Google Scholar] [CrossRef]
- Aoyama, M.; Tsuya, H.; Hirata, S.; Sjoberg, L. Experience of Toroidally Wound Double Stator Axial-Gap Induction Machine with Soft Magnetic Composites. IEEE Open J. Ind. Appl. 2021, 2, 378–383. [Google Scholar] [CrossRef]
- Liu, C.; Lu, J.; Wang, Y.; Lei, G.; Zhu, J.; Guo, Y. Design Issues for Claw Pole Machines with Soft Magnetic Composite Cores. Energies 2018, 11, 1998. [Google Scholar] [CrossRef]
- Liu, C.; Liu, Q.; Wang, S.; Wang, Y.; Lei, G.; Guo, Y.; Zhu, J. A Novel Flux Switching Claw Pole Machine with Soft Magnetic Composite Cores. Int. J. Appl. Electromagn. Mech. 2021, 67, 183–203. [Google Scholar] [CrossRef]
- Du, W.; Zhao, S.; Zhang, H.; Zhang, M.; Gao, J. A Novel Claw Pole Motor With Soft Magnetic Composites. IEEE Trans. Magn. 2021, 57, 8200904. [Google Scholar] [CrossRef]
- Chu, S.; Liang, D.; Jia, S.; Liang, Y. Research and Analysis on Design Characteristics of High-Speed Permanent Magnet Claw Pole Motor With Soft Magnetic Composite Cores for Wide Temperature Range. IEEE Trans. Ind. Appl. 2022, 58, 7201–7213. [Google Scholar] [CrossRef]
- Li, B.; Li, X.; Wang, S.; Liu, R.; Wang, Y.; Lin, Z. Analysis and Cogging Torque Minimization of a Novel Flux Reversal Claw Pole Machine with Soft Magnetic Composite Cores. Energies 2022, 15, 1285. [Google Scholar] [CrossRef]
- Liu, B.; Badcock, R.; Shu, H.; Tan, L.; Fang, J. Electromagnetic Characteristic Analysis and Optimization Design of a Novel HTS Coreless Induction Motor For High-Speed Operation. IEEE Trans. Appl. Supercond. 2018, 28, 5202405. [Google Scholar] [CrossRef]
- Zanegin, S.; Ivanov, N.; Zubko, V.; Kovalev, K.; Shishov, I.; Shishov, D.; Podguzov, V. Measurement and Analysis of AC Losses in HTSWindings of Electrical Machine for Different Operation Modes. Appl. Sci. 2021, 11, 2741. [Google Scholar] [CrossRef]
- Guo, Y.; Liu, L.; Ba, X.; Lu, H.; Lei, G.; Yin, W.; Zhu, J. Measurement and Modeling of Magnetic Materials under 3D Vectorial Magnetization for Electrical Machine Design and Analysis. Energies 2022, 16, 417. [Google Scholar] [CrossRef]
- Sarker, P.C.; Guo, Y.; Lu, H.Y.; Zhu, J.G. Measurement and Modeling of Rotational Core Loss of Fe-Based Amorphous Magnetic Material Under 2-D Magnetic Excitation. IEEE Trans. Magn. 2021, 57, 8402008. [Google Scholar] [CrossRef]
- Guo, Y.; Liu, L.; Ba, X.; Lu, H.; Lei, G.; Sarker, P.; Zhu, J. Characterization of Rotational Magnetic Properties of Amorphous Metal Materials for Advanced Electrical Machine Design and Analysis. Energies 2022, 15, 7798. [Google Scholar] [CrossRef]
- Soomro, W.A.; Guo, Y.; Lu, H.; Jin, J.; Shen, B.; Zhu, J. Experimental Setup for Measurement of AC Loss in HTS under Rotating Magnetic Field. Energies 2022, 15, 7857. [Google Scholar] [CrossRef]
- Soomro, W.A.; Guo, Y.; Lu, H.; Jin, J.; Shen, B.; Zhu, J. AC Loss in High-Temperature Superconducting Bulks Subjected to Alternating and Rotating Magnetic Fields. Materials 2023, 16, 633. [Google Scholar] [CrossRef] [PubMed]
- Asef, P.; Perpina, R.B.; Moazami, S.; Lapthorn, A.C. Rotor Shape Multi-Level Design Optimization for Double-Stator Permanent Magnet Synchronous Motors. IEEE Trans. Energy Convers. 2019, 34, 1223–1231. [Google Scholar] [CrossRef]
- Meng, Y.; Fang, S.; Pan, Z.; Liu, W.; Qin, L. Machine Learning Techniques Based Multi-Level Optimization Design of a Du-al-Stator Flux Modulated Machine with Dual-PM Excitation. IEEE Trans. Transp. Electrif. 2022, 9, 2606–2617. [Google Scholar] [CrossRef]
- Lei, G.; Wang, T.; Zhu, J.; Guo, Y. Robust Multiobjective and Multidisciplinary Design Optimization of Electrical Drive Systems. CES Trans. Electr. Mach. Syst. 2018, 2, 409–416. [Google Scholar] [CrossRef]
- Ma, Y.; Ching, T.W.; Fu, W.N.; Niu, S. Multi-Objective Optimization of a Direct-Drive Dual-Structure Permanent Magnet Machine. IEEE Trans. Magn. 2019, 55, 7501704. [Google Scholar] [CrossRef]
- Diao, K.; Sun, X.; Lei, G.; Guo, Y.; Zhu, J. Multiobjective System Level Optimization Method for Switched Reluctance Motor Drive Systems Using Finite-Element Model. IEEE Trans. Ind. Electron. 2020, 67, 10055–10064. [Google Scholar] [CrossRef]
- Soltani, M.; Nuzzo, S.; Barater, D.; Franceschini, G. A Multi-Objective Design Optimization for a Permanent Magnet Synchronous Machine with Hairpin Winding Intended for Transport Applications. Electronics 2021, 10, 3162. [Google Scholar] [CrossRef]
- Falekas, G.; Karlis, A. Digital Twin in Electrical Machine Control and Predictive Maintenance: State-of-the-Art and Future Prospects. Energies 2021, 14, 5933. [Google Scholar] [CrossRef]
- Liu, L.; Guo, Y.; Yin, W.; Lei, G.; Zhu, J. Design and Optimization Technologies of Permanent Magnet Machines and Drive Systems Based on Digital Twin Model. Energies 2022, 15, 6186. [Google Scholar] [CrossRef]
- Guo, Z.; Yan, S.; Xu, X.; Chen, Z.; Ren, Z. Twin-Model Based on Model Order Reduction for Rotating Motors. IEEE Trans. Magn. 2022, 58, 8206304. [Google Scholar] [CrossRef]
- Liu, G.; Liu, M.; Zhang, Y.; Wang, H.; Gerada, C. High-Speed Permanent Magnet Synchronous Motor Iron Loss Calculation Method Considering Multiphysics Factors. IEEE Trans. Ind. Electron. 2020, 67, 5360–5368. [Google Scholar] [CrossRef]
- Li, D.; Zhang, Y.; Jing, Y.; Xie, D.; Koh, C.-S. Core Loss and Deformation Computation in Permanent Magnet Linear Motors Considering the Effect of Stress on Magnetic and Magnetostrictive Properties. In Proceedings of the 2021 13th International Symposium on Linear Drives for Industry Applications (LDIA), Wuhan, China, 1–3 July 2021; pp. 1–5. [Google Scholar]
- Liu, L.; Ba, X.; Guo, Y.; Lei, G.; Sun, X.; Zhu, J. Improved Iron Loss Prediction Models for Interior PMSMs Considering Coupling Effects of Multiphysics Factors. IEEE Trans. Transp. Electrif. 2023, 9, 416–427. [Google Scholar] [CrossRef]
- Alanazi, F. Electric vehicles: Benefits, challenges, and potential solutions for widespread adaptation. Appl. Sci. 2023, 13, 6016. [Google Scholar] [CrossRef]
- Thangavel, S.; Mohanraj, D.; Girijaprasanna, T.; Raju, S.; Dhanamjayulu, C.; Muyeen, S.M. A comprehensive review on electric vehicle: Battery management system, charging station, traction motors. IEEE Access 2023, 11, 20994–21019. [Google Scholar] [CrossRef]
- Xiao, B.; Ruan, J.; Yang, W.; Walker, P.; Zhang, N. A review of pivotal energy management strategies for extended range electric vehicles. Renew. Sustain. Energy Rev. 2021, 149, 111194. [Google Scholar] [CrossRef]
- Georgiev, G.V.; Nanjappan, V. Sustainability considerations in digital fabrication design education. Sustainability 2023, 15, 1519. [Google Scholar] [CrossRef]
- Hossain Lipu, M.S.; Miah, M.S.; Ansari, S.; Wali, S.B.; Jamal, T.; Elavarasan, R.M.; Kumar, S.; Naushad Ali, M.M.; Sarker, M.R.; Aljanad, A.; et al. Smart battery management technology in electric vehicle applications: Analytical and technical assessment toward emerging future directions. Batteries 2022, 8, 219. [Google Scholar] [CrossRef]
- Mo, T.; Li, Y.; Lau, K.-t.; Poon, C.K.; Wu, Y.; Luo, Y. Trends and emerging technologies for the development of electric vehicles. Energies 2022, 15, 6271. [Google Scholar] [CrossRef]
- Soomro, S.A.; Casakin, H.; Georgiev, G.V. Sustainable Design and Prototyping Using Digital Fabrication Tools for Education. Sustainability 2021, 13, 1196. [Google Scholar] [CrossRef]
- Alarcón, I.V.; Downey, R.J.; Nadelson, L.; Choi, Y.H.; Bouwma-Gearhart, J.; Tanoue, C. Understanding Equity of Access in Engineering Education Making Spaces. Soc. Sci. 2021, 10, 384. [Google Scholar] [CrossRef]
- Chan, M.M.; Blikstein, P. Exploring Problem-Based Learning for Middle School Design and Engineering Education in Digital Fabrication Laboratories. Interdiscip. J. Probl. Based Learn. 2018, 12, 7. [Google Scholar] [CrossRef]
- Corsini, L.; Aranda-Jan, C.B.; Moultrie, J. Using Digital Fabrication Tools to Provide Humanitarian and Development Aid in Low-Resource Settings. Technol. Soc. 2019, 58, 101117. [Google Scholar] [CrossRef]
- Kohtala, C. Making “Making” Critical: How Sustainability Is Constituted in Fab Lab Ideology. Des. J. 2017, 20, 375–394. [Google Scholar] [CrossRef]
- Millard, J.; Sorivelle, M.N.; Deljanin, S.; Unterfrauner, E.; Voigt, C. Is the Maker Movement Contributing to Sustainability? Sustainability 2018, 10, 2212. [Google Scholar] [CrossRef]
- Corsini, L.; Moultrie, J. Design for Social Sustainability: Using Digital Fabrication in the Humanitarian and Development Sector. Sustainability 2019, 11, 3562. [Google Scholar] [CrossRef]
- Corsini, L.; Moultrie, J. What Is Design for Social Sustainability? A Systematic Literature Review for Designers of Prod-uct-Service Systems. Sustainability 2021, 13, 5963. [Google Scholar] [CrossRef]
- García-Ruiz, M.-E.; Lena-Acebo, F.-J. FabLabs: The Road to Distributed and Sustainable Technological Training through Digital Manufacturing. Sustainability 2022, 14, 3938. [Google Scholar] [CrossRef]
- Kent, L.; Gopsill, J.; Giunta, L.; Goudswaard, M.; Snider, C.; Hicks, B. Prototyping through the Lens of Network Analysis and Visualisation. Proc. Des. Soc. 2022, 2, 743–752. [Google Scholar] [CrossRef]
Component/System | Description |
---|---|
Battery pack and BMS | Stores electrical energy to power the vehicle |
Lithium-ion batteries are commonly used | |
BMS monitors and controls cell voltage, current, temperature, and state of charge | |
Electric motors and control units | Converts electrical energy into mechanical energy to propel the vehicle |
PMSM and IM are common types | |
MCU controls motor speed and torque based on driver inputs | |
Transmission systems | Transfers power from the electric motor to the wheels |
Single-speed reduction gearboxes are common | |
Multi-speed transmissions may be used in high-performance EVs | |
Steering mechanisms | Allows the driver to control the direction of the vehicle |
Rack-and-pinion system is the most common | |
Electric power steering (EPS) reduces the effort required to turn the wheels | |
Chassis and body design | Provides structural support and protection for the vehicle and its components |
Lightweight materials like aluminum and composites are increasingly used | |
The Skateboard platform places the battery and motors between the axles for low CG |
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
Ravi, R.; Belkasmi, M.; Douadi, O.; Faqir, M.; Essadiqi, E.; Gargab, F.Z.; Ezhilchandran, M.; Kasinathan, P. Advancing Sustainable Transportation Education: A Comprehensive Analysis of Electric Vehicle Prototype Design and Fabrication. World Electr. Veh. J. 2024, 15, 354. https://doi.org/10.3390/wevj15080354
Ravi R, Belkasmi M, Douadi O, Faqir M, Essadiqi E, Gargab FZ, Ezhilchandran M, Kasinathan P. Advancing Sustainable Transportation Education: A Comprehensive Analysis of Electric Vehicle Prototype Design and Fabrication. World Electric Vehicle Journal. 2024; 15(8):354. https://doi.org/10.3390/wevj15080354
Chicago/Turabian StyleRavi, Rajesh, Merouan Belkasmi, Oumaima Douadi, Mustapha Faqir, Elhachmi Essadiqi, Fatima Zohra Gargab, Manoranjitham Ezhilchandran, and Padmanathan Kasinathan. 2024. "Advancing Sustainable Transportation Education: A Comprehensive Analysis of Electric Vehicle Prototype Design and Fabrication" World Electric Vehicle Journal 15, no. 8: 354. https://doi.org/10.3390/wevj15080354
APA StyleRavi, R., Belkasmi, M., Douadi, O., Faqir, M., Essadiqi, E., Gargab, F. Z., Ezhilchandran, M., & Kasinathan, P. (2024). Advancing Sustainable Transportation Education: A Comprehensive Analysis of Electric Vehicle Prototype Design and Fabrication. World Electric Vehicle Journal, 15(8), 354. https://doi.org/10.3390/wevj15080354