Title :
The State of Arts and Development Trend of SOH Estimation for Lithium-Ion Batteries
Author :
Tiansi Wang ; Chunbo Zhu ; Lei Pei ; Rengui Lu ; Bingliang Xu
Author_Institution :
Sch. of Electr. Eng. & Autom., Harbin Inst. of Technol., Harbin, China
Abstract :
State of health (SOH) estimation for Lithium-ion batteries is a core technology of battery management systems, which is a foundation of ensuring system´s safety and reliability. An accurate SOH estimation reflects the present fraction of allowable performance left before the end of life. In this paper, quantization standards of SOH are introduced firstly and some suggestions are proposed to solve the inconformity issue of SOH definitions. Then the battery aging phenomenon is interpreted theoretically, which contains the analyses of the aging mechanism, the changes of parameters during aging processes and the factors of accelerating aging. Next, some main methods of the SOH estimation are summarized and compared with each other. And finally, this paper describes the development trend of SOH estimation algorithm.
Keywords :
ageing; battery management systems; electrical safety; reliability; secondary cells; SOH estimation algorithm; accelerating aging factor; battery aging phenomenon; battery management system; lithium-ion battery; quantization standard; reliability; safety; state of health estimation;
Conference_Titel :
Vehicle Power and Propulsion Conference (VPPC), 2013 IEEE
Conference_Location :
Beijing
DOI :
10.1109/VPPC.2013.6671719