An Improved Adaptive Velocity Update Particle Swarm Optimization Algorithm for Parameter Identification of Lithium-ion Battery
Author:
Affiliation:
1. Hubei University of Technology,Energy Storage Device Energy Management Research Team,Wuhan,China
2. Southwest University of Science and Technology,New Energy Measurement and Control Research Center,Mianyang,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10349228/10349229/10349304.pdf?arnumber=10349304
Reference16 articles.
1. Lithium-Ion Battery SOC Estimation Based on Adaptive Forgetting Factor Least Squares Online Identification and Unscented Kalman Filter
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3. A novel intelligent weight-decreasing firefly–particle filtering method for accurate state‐of‐charge estimation of lithium‐ion batteries.[J];Jialu;International Journal of Energy Research,2022
4. State of Charge Estimation of Li-Ion Battery Based on Improved Extended Kalman Filter
5. Advances in Natural Computation, [B];Quan;Fuzzy Systems and Knowledge Discovery
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