A deep belief network approach to remaining capacity estimation for lithium-ion batteries based on charging process features

Author:

Cao Mengda,Zhang Tao,Wang Jia,Liu Yajie

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment

Reference51 articles.

1. A novel fast capacity estimation method based on current curves of parallel-connected cells for retired lithium-ion batteries in second-use applications;Chang;J. Power Sources,2020

2. Lithium-ion battery capacity estimation based on features selection by grey relational analysis;Yao,2018

3. Lithium-ion battery remaining useful life prediction with deep belief network and relevance vector machine;Zhao,2017

4. Lithium-ion battery state of health estimation using Ah-V characterization;Le;Annu. Conf. Progn. Health Manag. Soc.,2011

5. A battery management system using nonlinear model predictive control for a hybrid electric vehicle;Yu;IFAC Proc. Vol.,2013

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