Novel Multiple Parameter Optimization for Improving Accuracy of Battery Ageing Model and Lifetime Prediction-Reference-Cited by-同舟云学术

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Novel Multiple Parameter Optimization for Improving Accuracy of Battery Ageing Model and Lifetime Prediction

Published:2022-10-17 Issue: Volume: Page:
ISSN:
Container-title:IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society
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Author:

Goyal Huma¹,Kikuchi Akira¹,Ueda Suguru¹,Honkura Kohei¹,Kawaji Jun¹

Affiliation:

1. Hitachi Ltd.,Research & Development Group,Hitachi,Ibaraki,Japan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9968313/9968303/09968405.pdf?arnumber=9968405

Reference29 articles.

1. Prognostics of lithium-ion batteries based on Dempster–Shafer theory and the Bayesian Monte Carlo method

2. Cycle-life model for graphite-LiFePO4 cells

3. Capacity and power fade cycle-life model for plug-in hybrid electric vehicle lithium-ion battery cells containing blended spinel and layered-oxide positive electrodes

4. Influence of Battery Downsizing and SOC Operating Window on Battery Pack Performance in a Hybrid Electric Vehicle

5. Electrochemical cell prognostics using online impedance measurements and model-based data fusion techniques

Cited by 1 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. Review of State Estimation and Remaining Useful Life Prediction Methods for Lithium–Ion Batteries;Sustainability;2023-03-11

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