Electric Vehicles: Simulation, Modeling and Optimization
A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "E: Electric Vehicles".
Deadline for manuscript submissions: 27 November 2025 | Viewed by 7
Special Issue Editor
Interests: electric vehicle energy power system optimization and control: intelligent management of power batteries, thermal runaway early warning, wireless energy transmission, multi-energy power system optimization control; intelligent networked car safety: intelligent networked car integration safety; electric vehicle intelligent unmanned driving: environmental perception technology and intelligent unmanned control technology; flying car safety control technology: flying car intelligent control technology, safety control
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Special Issue Information
Dear Colleagues,
The ongoing global transition toward sustainable energy positions electric vehicles (EVs) at the forefront. Three key factors lead to this transition: tightening environmental regulations, rising consumer demand for clean transportation, and rapid technological advances in the battery industry. In recent years, successive breakthroughs in energy storage and the power battery industry have delivered unprecedented growth in the EV market. These innovations are fundamentally reshaping the global automobile industry, leading to new approaches to vehicle design, energy management, and system integration.
Despite the progress, significant technical challenges hinder the current EV industry from fulfilling modern society’s urgent demand for sustainable transportation. Key challenges for EV development include, but are not limited to, improving energy efficiency, extending battery life, enhancing thermal management, optimizing charging infrastructure, and ensuring reliable performance under diverse operating conditions. Researchers and engineers require advanced simulation, modeling, and optimization techniques to address these challenges. This Special Issue compiles cutting-edge research on computational and experimental approaches that expedite the development of the EV industry by bridging the gap between theory and practice; highlights methodologies with high commercialization potential; and serves as a forum offering innovative solutions that address both current limitations and future requirements in electric mobility.
Prof. Dr. Shichun Yang
Guest Editor
Manuscript Submission Information
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Keywords
- battery modeling and state estimation
- battery fault detection
- high-efficiency motor drives
- advanced energy management
- AI-driven EV performance optimization
- fast charging and smart grid integration
- vehicle dynamics and stability control
- novel materials and manufacturing for EVs
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