State of Charge Estimation by Joint Approach With Model-Based and Data-Driven Algorithm for Lithium-Ion Battery-Reference-Cited by-同舟云学术

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State of Charge Estimation by Joint Approach With Model-Based and Data-Driven Algorithm for Lithium-Ion Battery

Published:2022 Issue: Volume:71 Page:1-10
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Shi Qin¹^ORCID,Jiang Zhengxin¹^ORCID,Wang Zhi²^ORCID,Shao Xingguo³^ORCID,He Lin¹^ORCID

Affiliation:

1. Laboratory of Automotive Intelligence and Electrification, Hefei University of Technology, Hefei, China

2. Faculty of Electrical Engineering and Computer Science, Technical University of Berlin, Berlin, Germany

3. Jiangsu Advanced Construction Machinery Innovation Center Ltd., Xuzhou, China

Funder

University Synergy Innovation Program of Anhui Province

National Key Research and Development Program of China

Key Research and Development Program of Jiangsu Province

Innovation Project of New Energy Vehicle and Intelligent Connected Vehicle of Anhui Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/19/9717300/09858164.pdf?arnumber=9858164

Reference31 articles.

1. An Immune Genetic Extended Kalman Particle Filter approach on state of charge estimation for lithium-ion battery

2. Application of Bayesian Networks in Reliability Evaluation

3. State-of-charge estimation of lithium-ion batteries using LSTM and UKF

4. A Driving-Behavior-Based SoC Prediction Method for Light Urban Vehicles Powered by Supercapacitors

5. An enhanced multi-state estimation hierarchy for advanced lithium-ion battery management

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1. A charge dynamics model for state-of-charge estimation by Kalman filter and lithium-ion battery parameters observation in real-vehicle;Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering;2024-08-03

2. A High-Speed Multichannel Electrochemical Impedance Spectroscopy System Using Broadband Multi-Sine Binary Perturbation for Retired Li-Ion Batteries of Electric Vehicles;Energies;2024-06-17

3. Data-driven degradation trajectory prediction and online knee point identification of battery in electric vehicles;Engineering Failure Analysis;2024-05

4. A current dynamics model and proportional–integral observer for state-of-charge estimation of lithium-ion battery;Energy;2024-02

5. State of Charge Estimation for Lithium-Ion Batteries at Various Temperatures by Extreme Gradient Boosting and Adaptive Cubature Kalman Filter;IEEE Transactions on Instrumentation and Measurement;2024

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