Accident prevention in electric vehicles through battery state-of-health estimation based on GRU-HSIC.

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Bibliographic Details
Title: Accident prevention in electric vehicles through battery state-of-health estimation based on GRU-HSIC.
Authors: Dang L; State Key Laboratory of Human-Machine Hybrid Augmented Intelligence, Xi'an Jiaotong University, Xi'an 710049, China., Huang Z; State Key Laboratory of Human-Machine Hybrid Augmented Intelligence, Xi'an Jiaotong University, Xi'an 710049, China; CRRC Zhuzhou Electric Locomotive Institute Co., Ltd, China., Xie Y; State Key Laboratory of Human-Machine Hybrid Augmented Intelligence, Xi'an Jiaotong University, Xi'an 710049, China., Ye Q; Research and Development Center of Transport Industry of Self-driving Technology, China Merchants Chongqing Communications Technology Research and Design Institute Co., Ltd., Chongqing, China. Electronic address: yeqing2@cmhk.com., Chen B; State Key Laboratory of Human-Machine Hybrid Augmented Intelligence, Xi'an Jiaotong University, Xi'an 710049, China. Electronic address: chenbd@mail.xjtu.edu.cn.
Source: Accident; analysis and prevention [Accid Anal Prev] 2026 Jan; Vol. 224, pp. 108268. Date of Electronic Publication: 2025 Nov 10.
Publication Type: Journal Article
Journal Info: Publisher: Pergamon Press Country of Publication: England NLM ID: 1254476 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-2057 (Electronic) Linking ISSN: 00014575 NLM ISO Abbreviation: Accid Anal Prev Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1879-2057
DOI:10.1016/j.aap.2025.108268