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Innovation in Sustainable Electric Power Systems Management under Emerging Electric Vehicle Demand

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Transportation".

Deadline for manuscript submissions: closed (31 May 2023) | Viewed by 4008

Special Issue Editors


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Guest Editor
College of Automotive and Mechanical Engineering, Changsha University of Science and Technology, Changsha 410114, China
Interests: EVs power systems optimal management; advanced power battery health management; sustainable transportation; hybrid electrical powertrain systems

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Guest Editor
Automatic Control, Department of Electrical Engineering, 41296 Goteborg, Sweden
Interests: EVs power systems optimal management; advanced power battery health management; sustainable transportation; hybrid electrical powertrain systems

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Guest Editor
College of Mechanical and Vehicle Engineering, Hunan University, Changsha 410012, China
Interests: intelligent and sustainable transportation; battery health management

Special Issue Information

Dear Colleagues,

Conventional fuel-engine vehicles have led to a series of problems such as energy consumption, pollutant emission and waste generation, which have further worsened the depletion of natural resources and global warming. Electric vehicles (EVs) are a strong weapon in the world's efforts against these problems.

This Special Issue (SI) will focus on new ideas, solutions and technical research on light-weight materials, reducing wind resistance, improving driving efficiency, strengthening energy recovery and heat management, the optimization of charging facilities and the power grid under the background of vehicle electrification so as to support the development of sustainable transportation. Other aspects such as sociology, politics, regulation or environment are not within the scope of SI.

In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:

  • Theoretical developments in planning and operation of sustainable EVs;
  • Energy storage devices for sustainable EVs demand;
  • Energy infrastructure for electrical transportation, charging systems and feeding systems, etc.;
  • Hybrid electrical powertrain systems;
  • Data analysis and computation for sustainable EVs power and energy system;
  • Energy management and control systems;
  • Sustainability assessment of EVs energy system: safety, durability and reliability;
  • Modeling and analysis of modern and future sustainable EVs energy systems;
  • Artificial intelligence applied to sustainable EVs; and
  • Internet of Things and Energy Internet applied to sustainable EVs.

We are looking forward to receiving your contributions.

Prof. Dr. Lin Hu
Dr. Changfu Zou
Dr. Jing Huang
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sustainability is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • theoretical developments
  • energy storage devices
  • energy infrastructure
  • hybrid electrical powertrain systems
  • data analysis and computation
  • energy management and control system
  • sustainability assessment
  • modeling and analysis
  • artificial intelligence
  • Internet of Things and Energy Internet

Published Papers (2 papers)

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Research

17 pages, 4664 KiB  
Article
Adaptive Stability Control Based on Sliding Model Control for BEVs Driven by In-Wheel Motors
by Pingshu Ge, Lie Guo, Jindun Feng and Xiaoyue Zhou
Sustainability 2023, 15(11), 8660; https://doi.org/10.3390/su15118660 - 26 May 2023
Cited by 3 | Viewed by 1494
Abstract
High-speed and complex road conditions make it easy for vehicles to reach limit conditions, increasing the risk of instability. Consequently, there is an urgent need to solve the problem of vehicle stability and safety. In this paper, adaptive stability control is studied in [...] Read more.
High-speed and complex road conditions make it easy for vehicles to reach limit conditions, increasing the risk of instability. Consequently, there is an urgent need to solve the problem of vehicle stability and safety. In this paper, adaptive stability control is studied in BEVs driven by in-wheel motors. Based on the sliding model algorithm, a joint weighting control of the yaw rate and sideslip angle is carried out, and a weight coefficient is designed using a fuzzy algorithm to realize adaptive direct yaw moment control. Next, optimal torque distribution is designed with the minimum sum of four tire load rates as the optimization objective. Then, combined with the road adhesion coefficient and the maximum motor torque constraint, the torque distribution problem is transformed into a functionally optimal solution problem with constraints. The simulation results show that the direct yaw moment controller based on the adaptive sliding mode algorithm has a good control effect on the yaw rate and sideslip angle, and it can effectively improve vehicle adaptive stability control. In the optimal torque distributor based on road surface recognition, the estimated error of road adhesion is within 10%, and has a greater margin to deal with vehicle instability, which can effectively improve vehicle adaptive stability control. Full article
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17 pages, 3551 KiB  
Article
The Impact of Fuel Cell Electric Freight Vehicles on Fuel Consumption and CO2 Emissions: The Case of Italy
by Mariano Gallo and Mario Marinelli
Sustainability 2022, 14(20), 13455; https://doi.org/10.3390/su142013455 - 18 Oct 2022
Cited by 5 | Viewed by 2024
Abstract
The Italian Recovery and Resilience Plan promotes, among its many actions, the use of hydrogen by the deployment of refuelling stations for heavy-duty vehicles, predicting a 5–7% penetration rate of fuel cell electric vehicles (FCEVs) for long-distance freight transport. In this work, the [...] Read more.
The Italian Recovery and Resilience Plan promotes, among its many actions, the use of hydrogen by the deployment of refuelling stations for heavy-duty vehicles, predicting a 5–7% penetration rate of fuel cell electric vehicles (FCEVs) for long-distance freight transport. In this work, the impact of this action on the reduction of greenhouse gas emissions and consumption was estimated, assuming the plan’s objectives are met. To achieve this aim, a national simulation model of the road freight transport system was implemented, consisting of a graph of the national road network and an inter-provincial origin-destination matrix; the graph was based on data available from OpenStreetMap, while the interprovincial matrix was estimated from the interregional matrix with the use of two linear regression models, one for emitted goods and one for attracted goods. The simulation of the system made it possible to estimate the impact of this action on CO2 emissions and fuel consumption under three different scenarios. From 2025 to 2040, a reduction in CO2 emissions ranging from around 9 to around 16.5 million tonnes was estimated, and a reduction in consumption ranging from around 3 billion to around 5.6 billion litres of diesel. These results show how this action can be seen as one of the bricks contributing to the fight against global warming. Full article
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