An Online State-of-Health Estimation Algorithm for Electric Vehicles through Aging Tendency of Open Circuit Voltage

被引：0
|
作者：
Noh, Tae-Won [1 ]
Han, Hae-Chan [1 ]
Lee, Byoung Kuk [1 ]
机构：
[1] Sungkyunkwan Univ, Dept Elect & Comp Engn, Suwon, South Korea
来源：
2019 10TH INTERNATIONAL CONFERENCE ON POWER ELECTRONICS AND ECCE ASIA (ICPE 2019 - ECCE ASIA) | 2019年
关键词：
Battery management system; state-of-health; parameter extraction; current capacity; open circuit voltage; EQUIVALENT-CIRCUIT; BATTERY MODELS; ADAPTIVE STATE; CHARGE; MANAGEMENT; PACKS;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
This paper proposes the online state-of-health (SOH) estimation algorithm for the electric vehicles (EVs) by using the aging tendency of the open circuit voltage (OCV). The proposed algorithm uses the aging tendency of OCV curve analyzed based on NMC-type battery cells which is installed in battery pack for EVs. The analyzed aging tendency of OCV is utilized to estimate the degraded current capacity by extracting OCV in real time with a low pass filter. The proposed algorithm is validated through informative experiment using NMC-type battery cells.
引用
收藏
页码：693 / 698
页数：6
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