Battery Management Systems for Vehicle Electrification
- Submission status
- Closed
- Submission deadline
The world is actively optimizing and adjusting its energy infrastructure and implementing carbon-neutral policies. Globally, the automotive industry is moving towards electrification and intelligent transformation. The lithium-ion battery is the main energy storage component in electric vehicles due to its high energy density. However, large large-scale lithium-ion batteries still face many challenges. Degradation, instability at high temperatures, performance degradation at low temperatures, risk of overcharge and over-discharge, and difficulty in fault diagnosis and prognosis, all weaken the market competitiveness of electric vehicles. Monitoring and management are required to ensure safety and reliability during operation. Common tasks of battery management systems include accurate state estimation, battery balancing, safe and efficient charge/discharge strategies, thermal management, fault diagnosis, and prediction.
Advanced battery management systems are expected to improve the performance of the battery at the cell, module, and pack levels. With this in mind, we open this Collection with the goal of developing advanced battery management systems for electric vehicles. The Collection will publish high-quality Research, Reviews Perspectives and Commentary. Potential topics include, but are not limited to, the following research areas:
- Battery management system: design, control and simulation.
- State estimation: modelling, state estimation including the state of charge, state of health, state of power and energy, equalization, charge/discharge strategy.
- Thermal management: battery thermal runaway, safety materials, low-temperature heating techniques, thermal management design and strategy
- Battery degradation: degradation mechanisms, second use, diagnosis and prognosis, health monitoring.
- Battery safety: failure mechanisms, battery fault detection and diagnosis, Early warning, typical fault root cause and simulation, State of Safety.
- Fast charging technology and strategies.
- Advanced techniques at the cell, module, and pack level: machine learning, digital twins, and cloud computing.
- Advanced experimental and characterization methods.
- New sensor technologies for future battery management.
Editors
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Weihan Li
RWTH Aachen University, Germany
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Billy Wu ,
Billy Wu
Imperial College London, UK
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Caiping Zhang
Beijing Jiaotong University, China
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Jiangong Zhu
Tongji University, China
