Advanced Battery Management Strategies for a Sustainable Future
A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Energy Sustainability".
Deadline for manuscript submissions: closed (23 December 2021) | Viewed by 3698
Special Issue Editors
Interests: battery manufacture and management; transportation-grid interfacing system; artificial intelligence
Special Issues, Collections and Topics in MDPI journals
Interests: power electronics; electric vehicle chargers; modular multilevel converters; battery management systems; photovoltaics; battery storage systems
Special Issues, Collections and Topics in MDPI journals
Interests: battery management systems; battery state estimation; fast charging control; battery impedance measurement
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Energy storage systems (ESSs) enable the flexibility of electricity usage in industrial applications, for example, acting as the energy/power supply for e-mobilities or smart grids. For the purpose of supplying high-quality power to electric vehicles, hybrid electric vehicles and stationary storages, the ESS requires a suitable battery management system (BMS) that will act as an enabling technology for energy conversion, safety, balancing, charging, and life extension. Without a doubt, the advancement of measurement and control of the batteries would directly influence the performance, efficiency, reliability, financial profits, and lifespan of all-related ESSs, including pure battery systems and the hybrid battery systems that are integrated with devices such as wind turbines, solar panels, super-capacitors, fuel cells, and conventional fossil power generators or engines. In this thread, the hardware design, modelling, and control strategies of the BMS is of great importance to unlocking the potential performance, such as enhanced efficiency and prolonged service life, of ESSs. Thus, more advanced BMSs should be designed to utilize the full potential of high-performance energy storage elements.
In this sense, this Special Issue serves to solicit and foster new research achievements on the recently emerging and cross-disciplinary field of advanced hardware design, modelling and control strategies for BMSs. We are pleased to receive new contributions from researchers, scientists, students from companies, universities, and research institutes all over the world to build an academic network for developing advanced BMSs for a sustainable future. Topics of interest for this Special Issue include, but are not limited to, the following:
- Advanced BMS for electrical vehicles and smart grids;
- Battery state estimation, thermal/safety management in BMS;
- Real-time hardware in the loop (HIL) simulation for BMS;
- Advanced artificial intelligence and machine learning solutions for BMS;
- Cyber-physics, big data, and internet of energy data related to BMS;
- Advanced control and diagnosis of battery in BMS;
- Smart management strategies for advanced BMS;
- Battery-based hybrid-energy systems: architecture, sizing, energy management;
- Smart battery manufacturing and management;
- Fast charger technique for battery;
- Battery equalizer and self-heater;
- Fault prognosis and diagnosis of power electronics in BMS.
Dr. Kailong Liu
Dr. Mattia Ricco
Dr. Jinhao Meng
Dr. Sidun Fang
Guest Editors
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Keywords
- Battery management system
- Power electronics
- Transportation electrification
- Smart grid
- Artificial intelligence
- Estimation, prognosis and diagnosis
- Fast charger
- Cyber-physics system
- Control and management strategies.
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