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Open-circuit voltage-based state of charge estimation of lithium-ion power battery by combining controlled auto-regressive and moving average modeling with feedforward-feedback compensation method

  • Published:2017-09 Issue: Volume:90 Page:27-36
  • ISSN:0142-0615
  • Container-title:International Journal of Electrical Power & Energy Systems
  • language:en
  • Short-container-title:International Journal of Electrical Power & Energy Systems

Author:

Dang Xuanju,Yan Li,Jiang Hui,Wu Xiru,Sun Hanxu

Funder

National Natural Science Foundation Project of China

Information Science Project of Guangxi Experiment Center

Guangxi Natural Science Foundation

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology

Reference39 articles.

1. Open-circuit voltage prediction and SOC estimation of Li-ion battery;Deng;Instrum Technol,2015

2. Study on SOC estimation algorithm of lithium-ion battery of electric vehicle;Bao;Comput Eng Sci,2012

3. A novel approach for state of charge estimation based on adaptive switching gain sliding mode observer in electric vehicles;Chen;J Power Sources,2014

4. An SOC estimation approach based on adaptive sliding mode observer and fractional order equivalent circuit model for lithium-ion batteries;Zhong;Commun Nonlinear Sci Numer Simul,2015

5. Critical review of the methods for monitoring of lithium-ion batteries in electric and hybrid vehicles;Waag;J Power Sources,2014
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