Abstract
Charging control is one of the essential functions of battery management systems. Battery charging involves behavioral changes such as electricity, heat, and aging. Balancing these factors is crucial for the safe and efficient operation of batteries. This work proposes an intelligent charging scheme for lithium-ion batteries that considers charging time, temperature rise, and health losses. Firstly, charging aging experiments are conducted to investigate the effect of charging rate on battery aging. Specifically, half cell experiments are carried out to construct an electrode open circuit voltage model to explore battery aging modes. The aging mode attenuation model is proposed based on empirical formulas. Then, the charging multi-objective function is established based on the equivalent circuit, thermal, and aging empirical models. A multi-stage constant current charging optimization scheme has been developed based on the multi-objective grey wolf optimizer. Finally, the feasibility of three targets and dual targets fast charging schemes is verified through simulation and experiments.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: IEEE Journal of Emerging and Selected Topics in Power Electronics
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
