TY - JOUR
AU - Yuan, Shuai
AB - In the use of electric vehicles, the charging time, battery capacity and energy efficiency of the power battery are common concerns of consumers during the charging process. However, the traditional normal charging and fast charging methods do not always meet the charging needs of users; therefore, this paper proposes an optimal charging strategy based on intelligent algorithms for power battery performance improvement strategy of smart networked vehicles. The equivalent circuit model constructed firstly, the simulation analysis and strategy optimization of the multi-stage charging strategy are carried out, and then the multi-stage charging strategy is optimized based on MOPSO algorithm, the objective function is constructed, and the constraints are determined. Finally, the experimental comparison analysis between the multi-stage charging strategy and the constant-current and constant-voltage charging strategy is carried out by the multi-objective optimized multi-stage charging strategy. The results show that the charging time of the method in this paper is shortened by 6.6% and the maximum battery temperature rise is reduced by 2.6%. 
TI - Smart algorithm-based performance improvement strategies for smart networked vehicle power batteries
JF - Proceedings of SPIE
DO - 10.1117/12.2662673
DA - 2022-12-16
UR - https://www.deepdyve.com/lp/spie/smart-algorithm-based-performance-improvement-strategies-for-smart-HkORBXJSI0
SP - 125005V
EP - 125005V-6
VL - 12500
IS - 
DP - DeepDyve
ER -