Energy Management Systems of Electric Vehicles: New Trends and Dynamic Futures
A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "E: Electric Vehicles".
Deadline for manuscript submissions: closed (20 August 2024) | Viewed by 27355
Special Issue Editor
Interests: reinforcement learning; intelligent control of electrified vehicles; hybrid electric vehicles; energy management systems; next generation transportation; hardware-in-the-loop implementation
Special Issue Information
Dear Colleagues,
The Guest Editor is welcoming submissions to a Special Issue of Energies entitled “Energy Management Systems of Electric Vehicles: New Trends and Dynamic Futures”.
In a global drive to expedite the adoption of battery electric vehicles (BEVs) and phase out conventional internal combustion engines (ICEs) reliant on fossil fuels, governments worldwide are intensifying their commitment to sustainability. The ascendancy of BEVs in the automotive landscape is undeniable, with a remarkable 43% growth in the market share recorded in 2020 compared to 2019. Notably, in 2020, BEVs constituted two-thirds of all new electric car registrations. Despite their emission-free profiles, energy independence from fossil fuels, and minimal noise pollution, BEVs grapple with notable challenges that necessitate mitigation for further market penetration. These challenges encompass the limited availability of public recharging infrastructure, pricing competitiveness vis-à-vis traditional ICE vehicles, extended recharging durations, and the ever-lingering concern of range anxiety.
To bolster the travel range, operational efficiency, and dynamic performance of BEVs, both academia and the automotive industry have been actively proposing an array of solutions centered around intelligent and innovative energy management systems (EMS) within the powertrain domain. This Special Issue serves as a platform not only for the dissemination of cutting-edge advancements in intelligent and innovative EMS for BEVs, but also for the exploration of futuristic energy management paradigms. These forward-looking frameworks incorporate elements such as the Internet of Things (IoT), vehicle-to-everything (V2X) connectivity, onboard predictive optimization, and reinforcement learning.
Furthermore, this Special Issue extends an invitation to comprehensive review articles that span both contemporary and visionary EMSs for BEVs.
Topics of interest for publication include, but are not limited to, the following:
- Integrated thermal and energy management system
- Energy management of multi-motor battery electric vehicle
- Reinforcement learning-based EMSs for BEVs
- Impact of EMS in designing multi-speed BEVs
- Traffic predictive EMSs for BEVs and range extension
- Multi-objective optimization-based EMSs for BEVs
- EMSs for ICE-based and fuel-cell range-extended electric vehicles
- EMSs formulation for long-haul battery electric trucks
- Energy savings of BEVs in connected driving scenario
- Regenerative braking efficiency/ energy maximization in BEVs
Dr. Atriya Biswas
Guest Editor
Manuscript Submission Information
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Keywords
- energy management system
- range extension
- electric vehicles
- charging management
- integrated thermal and energy management
- dual-motor electric vehicle
- regenerative braking efficiency
- multi-motor electric vehicle
- net-zero vehicles
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