Lithium-Ion Battery Pack SOC Estimation using Optimized ECM Parameters and Kalman Filter
Author:
Affiliation:
1. COEP Technological University,Pune,India
2. HELLA India Automotive,Pune,India
3. Jaguar Land Rover,Bengaluru,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10059464/10059610/10060088.pdf?arnumber=10060088
Reference18 articles.
1. Soc Estimation of the Lithium-Ion Battery Pack using a Sigma Point Kalman Filter Based on a Cell’s Second Order Dynamic Model
2. Extended Kalman filtering for battery management systems of LiPB-based HEV battery packs
3. State-of-Charge Estimation and State-of-Health Prediction of a Li-Ion Degraded Battery Based on an EKF Combined With a Per-Unit System
4. On-Board State Estimation in Electrical Vehicles: Achieving Accuracy and Computational Efficiency Through an Electrochemical Model
5. Online Parameter Identification and State of Charge Estimation of Lithium-Ion Batteries Based on Forgetting Factor Recursive Least Squares and Nonlinear Kalman Filter
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. SoC Estimation of Li-ion Battery using Extended Kalman Filter;2024 1st International Conference on Innovative Sustainable Technologies for Energy, Mechatronics, and Smart Systems (ISTEMS);2024-04-26
2. Sensorless Current Estimation of LiFePO4 Battery using an Unknown Input Observer;2023 IEEE 3rd International Conference on Smart Technologies for Power, Energy and Control (STPEC);2023-12-10
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