Joint estimation of state of charge and state of health for lithium‐ion battery based on dual adaptive extended Kalman filter-Reference-Cited by-同舟云学术

Joint estimation of state of charge and state of health for lithium‐ion battery based on dual adaptive extended Kalman filter

Published:2021-03-27 Issue:9 Volume:45 Page:13307-13322
ISSN:0363-907X
Container-title:International Journal of Energy Research
language:en
Short-container-title:Int J Energy Res

Author:

Li Jiabo¹^ORCID,Ye Min¹,Gao Kangping¹,Xu Xinxin¹²,Wei Meng¹,Jiao Shengjie¹

Affiliation:

1. National Engineering Laboratory for Highway Maintenance Equipment Chang'an University Xi'an China

2. National Engineering Laboratory for Highway Maintenance Equipment Henan Gaoyuan Maintenance Technology of Highway Co., Ltd. Xinxiang China

Funder

Fundamental Research Funds for the Central Universities

Publisher

Wiley

Subject

Energy Engineering and Power Technology,Fuel Technology,Nuclear Energy and Engineering,Renewable Energy, Sustainability and the Environment

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/er.6658

Reference29 articles.

1. State of charge estimators considering temperature effect, hysteresis potential, and thermal evolution for LiFePO4 batteries;Xie J;Int J Energy Res,2017

2. A Novel State Estimation Approach Based on Adaptive Unscented Kalman Filter for Electric Vehicles

3. Fractional‐order modeling and SOC estimation of lithium‐ion battery considering capacity loss

4. Adaptive State-of-Charge Estimation Based on a Split Battery Model for Electric Vehicle Applications

5. Deng Y Hu Y Cao Y.An improved algorithm of SOC testing based on open‐circuit voltage‐ampere hour method.Paper presented at: International Conference on Life System Modeling and Simulation and International Conference on Intelligent Computing for Sustainable Energy and Environment; Shanghai China September 20‐23 2014.

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