Informative battery charging: integrating fast charging and optimal experiments

IFAC PAPERSONLINE(2023)

引用 0|浏览0
暂无评分
摘要
This paper presents informative battery charging, a novel approach for battery model parameter estimation during fast charge. Our solution comprises three distinct contributions: first, we develop a semi-explicit solution to an optimal fast charging problem for equivalent circuit models with health-conscious voltage constraints; second, we design optimal experiments for battery model parameter estimation; and third, we suggest a strategy for how the fast charging and experimentation currents can be combined while still satisfying constraints and maintaining acceptable charging times. Numerical results show that model parameters can be identified with lower variance if an optimal experiment is added to the charging procedure.
更多
查看译文
关键词
Input and excitation design,Optimal control,Electric vehicles,Lithium,ion battery,Fast charging
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要