Work

State-of-health estimation and remaining useful life prediction for the lithium-ion battery based on a variant long short term memory neural network

Year: 2020

Type: article

Source: Journal of Power Sources

DOI: 10.1016/j.jpowsour.2020.228069

Authors: Penghua Li, Zijian Zhang, Qingyu Xiong, Baocang Ding, Jie Hou, Dechao Luo, Yujun Rong, Shuaiyong Li

Institutions: Chongqing University of Posts and Telecommunications, Chongqing University, Xi'an Jiaotong University, China Automotive Engineering Research Institute, China Mobile (China)

Language: English

Topic: Battery Modeling and Management

Subfield: Automotive Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Affordable and clean energy, Industry, innovation and infrastructure

Open Access status: closed

Funders: National Natural Science Foundation of China, Fundamental Research Funds for the Key Research Program of Chongqing Science and Technology Commission

Awards: G4220854846, G70105606

OpenAlex ID: W3013372615

FWCI: 26.98

Cites: 37

Cited by: 464

Related to: 10