State and Parameter Estimation of a HEV Li-ion Battery Pack Using Adaptive Kalman Filter with a New SOC-OCV Concept-Reference-Cited by-同舟云学术

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State and Parameter Estimation of a HEV Li-ion Battery Pack Using Adaptive Kalman Filter with a New SOC-OCV Concept

Published:2009 Issue: Volume: Page:
ISSN:
Container-title:2009 International Conference on Measuring Technology and Mechatronics Automation
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Author:

Dai Haifeng,Wei Xuezhe,Sun Zechang

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx5/5202889/5203355/05203451.pdf?arnumber=5203451

Cited by 25 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. Unveiling aqueous lithium-ion batteries via advanced modelling and characterisation: A review;Energy Storage Materials;2024-06

2. Real-Time SOC Estimation of Li-ion Battery Pack Using Improved Kalman Filter;2024 Third International Conference on Power, Control and Computing Technologies (ICPC2T);2024-01-18

3. SOC Estimation of Supercapacitor Balancing Systems: A Switching Kalman Filter Approach;2023 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom);2023-12-21

4. Toward Composing Efficient FPGA-Based Hardware Accelerators for Physics-Based Model Predictive Control Smart Sensor for HEV Battery Cell Management;IEEE Access;2023

5. State of charge estimation of li-ion batteries based on the noise-adaptive interacting multiple model;Energy Reports;2021-11

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