State of health based battery reconfiguration for improved energy efficiency
Le Yi Wang1
George Yin2
Yi Ding3
Caiping Zhang4
1.Department of Electrical and Computer Engineering,Wayne State University,Detroit,MI 48202,USA2.Department of Mathematics,University of Connecticut,Storrs,CT 06269,USA3.US Army CCDC Ground Vehicle Systems Center in Warren,Warren,MI 48397,USA4.School of Electrical Engineering,Beijing Jiaotong University,Beijing 100044,China
摘要：This paper analyzes the system-level state of health(SOH)and its dependence on the SOHs of its component battery modules.Due to stochastic natures of battery aging processes and their dependence on charge/discharge rate and depth,operating temperature,and environment conditions,capacities of battery modules decay unevenly and randomly.Based on estimated SOHs of battery modules during battery operation,we analyze how the SOH of the entire system deteriorates when battery modules age and become increasingly diverse in their capacities.A rigorous mathematical analysis of system-level capacity utilization is conducted.It is shown that for large battery strings with uniformly distributed capacities,the average string capacity approaches the minimum,implying an asymptotically near worst-case capacity utility without reorganization.It is demonstrated that the overall battery usable capacities can be more efficiently utilized to achieve extended operational ranges by using battery reconfiguration.An optimal regrouping algorithm is introduced.Analysis methods,simulation examples,and a case study using real-world battery data are presented.
机标关键词：improvedstateenergybasedbatteryefficiencyhealthreconfiguration
论文发表日期：2022-11-05
在线出版日期：2025-08-15（本平台首次上网日期，不代表文献的发表时间）
页数：13( 443-455 )
英文信息