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A novel method for state of energy estimation of lithium-ion batteries using particle filter and extended Kalman filter

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Year: 2021
Type: article
Source: Journal of Energy Storage
DOI: 10.1016/j.est.2021.103269
Authors: Xin Lai, Yunfeng Huang, Xuebing Han, Huanghui Gu, Yuejiu Zheng
Institutions: University of Shanghai for Science and Technology, Tsinghua University
Language: English

Topic: Advanced Battery Technologies Research
Subfield: Automotive Engineering
Field: Engineering
Domain: Physical Sciences
SDG: Affordable and clean energy

Open Access status: closed

Funders: Natural Science Foundation of Shanghai, Shanghai Science and Technology Development Foundation, National Natural Science Foundation of China, State Key Laboratory of Automotive Safety and Energy
Awards: G175991313, G1811459987, G1890294229, 基于电池组多维一致性演变机制与估计方法的均衡构型和算法研究, G6870977756
OpenAlex ID: W3201831732
FWCI: 5.779
Cites: 40
Cited by: 112
Related to: 10
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