Co-estimation of state of charge and capacity for battery packs in real electric vehicles with few representative cells and physics-informed machine learning-Reference-Cited by-同舟云学术

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Co-estimation of state of charge and capacity for battery packs in real electric vehicles with few representative cells and physics-informed machine learning

Published:2024-10 Issue: Volume:306 Page:132520
ISSN:0360-5442
Container-title:Energy
language:en
Short-container-title:Energy

Author:

Wang Qiao^ORCID,Ye Min^ORCID,Li Bin,Lian Gaoqi,Li Yan^ORCID

Funder

Natural Science Basic Research Program of Shaanxi Province

China Postdoctoral Science Foundation

China Scholarship Council

Publisher

Elsevier BV

Reference45 articles.

1. Recycling lithium-ion batteries from electric vehicles;Harper;Nature,2019

2. Prospects for lithium-ion batteries and beyond—a 2030 vision;Grey;Nat Commun,2020

3. Critical review and functional safety of a battery management system for large-scale lithium-ion battery pack technologies;See;International Journal of Coal Science & Technology,2022

4. Lithium-ion battery utilization in various modes of e-transportation;Tepe;eTransportation,2023

5. Key technologies for electric vehicles;Xiong;Green Energy and Intelligent Transportation,2022

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