State-space model with non-integer order derivatives for lithium-ion battery-Reference-Cited by-同舟云学术

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State-space model with non-integer order derivatives for lithium-ion battery

Published:2016-01 Issue: Volume:161 Page:330-336
ISSN:0306-2619
Container-title:Applied Energy
language:en
Short-container-title:Applied Energy

Author:

Zou Yuan,Li Shengbo Eben,Shao Bing,Wang Baojin

Funder

NSF China

University Talent Introduction 111 Project

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Mechanical Engineering,General Energy,Building and Construction

Reference39 articles.

1. Lithium-ion batteries: evaluation study of different charging methodologies based on aging process;Monem;Appl Energy,2015

2. A data-driven based adaptive state of charge estimator of lithium-ion polymer battery used in electric vehicles;Xiong;Appl Energy,2014

3. Method for estimating capacity and predicting remaining useful life of lithium-ion battery;Hu;Appl Energy,2014

4. Extended Kalman filtering for battery management systems of LiPB-based HEV battery packs: Part I. Background;Plett;J Power Sour,2004

5. A novel modeling methodology of open circuit voltage hysteresis for LiFePO4 batteries based on an adaptive discrete Preisach model;Zhu;Appl Energy,2015

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