Powertrain Design and Control in Sustainable Electric Vehicles
A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Energy Sustainability".
Deadline for manuscript submissions: 31 December 2025 | Viewed by 163
Special Issue Editors
Interests: hybrid powertrain configuration design; sustainable energy management strategy of hybrid powertrain and hybrid energy system; dedicated transmission design for electrified vehicles; sustainable application of machine learning technology in vehicle control
Special Issues, Collections and Topics in MDPI journals
Interests: optimal control; control of new energy vehicles and hybrid electric vehicles; artificial intelligence
Interests: electric vehicle; hybrid electric vehicle; transmission design and control
Interests: intelligent control; dynamics and control; mechanism and machine theory; autonomous system; fault tolerant control; artificial intelligence with engineering applications; machine learning methods; signal processing; intelligent transportation; system modeling and identification
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Since the transportation electrification trend began to sweep the automotive industry, powertrain configurations and control methods have changed greatly. The introduction of electric machines in powertrains not only offers various ways to improve vehicle performance and energy efficiency but also brings about challenges for academics and engineers to meet the emerging requirements. With the increase in system components, e.g., more energy sources and power sources, it is very difficult to balance the rapid iteration of system performance, advanced technology, and consumers’ needs. In consequence, it is essential to create, adapt, and apply theories, methods, and technologies for every segment of electric vehicles to achieve multi-object optimization in terms of dynamics, energy, lifetime, and cost.
Electric vehicles are no longer a simple mechanical system; the electrified and informationalized powertrain offers an opportunity to apply mass data, artificial intelligence, and other sustainable advanced technologies in the design and control of new energy vehicles. The aim of this Special Issue is to provide a platform to introduce state-of-the-art theories, methods, technologies, and any other methods to further improve electrified powertrain performance sustainability, including, but not limited to, configuration, efficiency, dynamic, weight, cost, and lifetime.
In this Special Issue, original research articles and reviews are welcome to be submitted. Research areas may include, but are not limited to, the following:
- Design, modeling, control, and optimization of engine-based hybrid, fuel cell, and multi-motor electric powertrain;
- Multi-power, multi-speed, and distributed-drive powertrain design and control;
- Sustainable energy management strategies for multi-power-based powertrain;
- Dynamic, stability, NVH, sustainable energy efficiency, and lifetime optimization methods of electrified powertrain;
- Dedicated transmission and power split system design;
- The sustainable application of big data and machine learning technology in electric vehicles for safety and economic performance improvements;
- Configuration, parameter matching, and control of sustainable hybrid energy system;
- Market survey on acceptance and preference of different electrified powertrains;
- The investigation of the whole life cycle cost of different electrified powertrains.
We look forward to receiving your contributions.
Prof. Dr. Jiageng Ruan
Dr. Yahui Zhang
Dr. Yang Tian
Dr. Jing Zhao
Guest Editors
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Keywords
- hybrid powertrain
- electrified powertrain
- fuel cell vehicle
- distributed drive
- sustainable energy management strategy
- hybrid energy system
- transmission
- power split system
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