Towards Real-Time Estimation of Li-ion Battery Characteristics for BMS with Storage-Limited Processors-Reference-Cited by-同舟云学术

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Towards Real-Time Estimation of Li-ion Battery Characteristics for BMS with Storage-Limited Processors

Published:2023-11-26 Issue: Volume: Page:1-7
ISSN:
Container-title:2023 IEEE 8th Southern Power Electronics Conference and 17th Brazilian Power Electronics Conference (SPEC/COBEP)
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Author:

Ning Zhansheng¹,Azizighalehsari S.¹,Venugopal P.¹,Rietveld G.¹,Soeiro T. Batista¹

Affiliation:

1. University of Twente,Power Electronics & EMC Group,Enschede,The Netherlands

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10406303/10407110/10407938.pdf?arnumber=10407938

Reference11 articles.

1. Top 10 energy storage trends in 2023

2. Advanced Battery Management Systems with Integrated Battery Electronics

3. Co-estimation of state of charge and state of health for 48 V battery system based on cubature Kalman filter and H-infinity

4. A Review of Lithium-ion Batteries Diagnostics and Prognostics Challenges

5. A Distribution of Relaxation Time Approach on Equivalent Circuit Model Parameterization to Analyse Li-ion Battery Degradation

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. Empowering Electric Vehicles Batteries: A Comprehensive Look at the Application and Challenges of Second-Life Batteries;Batteries;2024-05-14

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