Multiobjective Optimization Charging Strategy Based on a Fast Charging Electrochemical Model and Safe Charging Boundary

Abstract

The present expeditious charging approach for electric automobiles relies on provisional trial data and the technical proficiency of lithium battery producers, and it is deficient in systematic methodologies for assessing the safety threshold of charging. The present study is grounded on the utilization of an electrochemical fast-charging model for the purpose of determining the temperature limits for lithium deposition. A proposed approach for enhancing the charging strategy involves the consideration of discharging pulses and pulse widths, and the utilization of a genetic algorithm based on the lithium deposition boundary. The present approach endeavors to enhance the duration of charging and minimize the occurrence of irreversible thermal effects by employing the existing threshold as a safeguard threshold. The outcomes of the experiment indicate that the electrochemical rapid charging approach proposed in this study exhibits a significant level of simulation precision when subjected to high magnification and a wide range of temperatures. Furthermore, the implementation of an enhanced genetic algorithm-based optimized charging strategy has demonstrated the capability to efficiently balance the charging duration and irreversible heat, leading to a significant improvement in the charging performance in comparison to the conventional 1 C constant current charging approach.