Customer-centric aging simulation for 48 V lithium-ion batteries in vehicle applications
Author:
Publisher
Elsevier BV
Subject
Electrical and Electronic Engineering,Energy Engineering and Power Technology,Transportation,Automotive Engineering
Reference46 articles.
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3. Optimization of the parallel and mild hybrid vehicle platforms operating under conventional and advanced combustion modes;Benajes;Energy Convers Manage,2019
4. Power management strategy for the 48 V mild hybrid electric vehicle based on the charge-sustaining control;Sohn;Int J Automot Technol,2019
5. Lithium-ion cell requirements in a real-world 48 V system and implications for an extensive aging analysis;Bank;J Energy Storage,2020
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Customer Lifetime Value Prediction: Using Machine Learning to Forecast CLV and Enhance Customer Relationship Management;2023 7th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT);2023-10-26
2. Automated feature extraction to integrate field and laboratory data for aging diagnosis of automotive lithium-ion batteries;Cell Reports Physical Science;2023-10
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