Extended Kalman filtering for battery management systems of LiPB-based HEV battery packs

Cited by (123)

Items 101–123 of 123

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2. Lithium-Sulfur Battery Technology Readiness and Applications—A Review
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3. Adaptive unscented Kalman filter based state of energy and power capability estimation approach for lithium-ion battery
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4. Robust prognostics for state of health estimation of lithium-ion batteries based on an improved PSO–SVR model
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5. A Bayesian framework for on-line degradation assessment and residual life prediction of secondary batteries inspacecraft
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6. Reliable state of charge estimation of battery packs using fuzzy adaptive federated filtering
   Hu, Lin, Hu, Xiaosong, Che, Yunhong, Feng, Fei, Lin, Xianke, Zhang, Zhiyong · 2020 · Applied Energy
7. A novel Gaussian model based battery state estimation approach: State-of-Energy
   He, HongWen, Zhang, YongZhi, Xiong, Rui, Wang, Chun · 2015 · Applied Energy
8. Online Internal Resistance Measurement Application in Lithium Ion Battery Capacity and State of Charge Estimation
   Bao, Yun, Dong, Wenbin, Wang, Dian · 2018 · Energies
9. On-board state-of-health monitoring of lithium-ion batteries using linear parameter-varying models
   Remmlinger, Jürgen, Buchholz, Michael, Soczka-Guth, Thomas, Dietmayer, Klaus · 2013 · Journal of Power Sources
10. Batteries State of Health Estimation via Efficient Neural Networks with Multiple Channel Charging Profiles
    Khan, Noman, Ullah, Fath U Min, Afnan, Ullah, Amin, Lee, Mi Young, Baik, Sung Wook · 2021 · IEEE Access
11. Novel methods for estimating lithium-ion battery state of energy and maximum available energy
    Zheng, Linfeng, Zhu, Jianguo, Wang, Guoxiu, He, Tingting, Wei, Yiying · 2016 · Applied Energy
12. A capacity prediction framework for lithium-ion batteries using fusion prediction of empirical model and data-driven method
    Zheng, Yuejiu, Cui, Yifan, Han, Xuebing, Ouyang, Minggao · 2021 · Energy
13. Valve Regulated Lead Acid battery float service life estimation using a Kalman filter
    Burgess, Webb L. · 2009 · Journal of Power Sources
14. Collaborative framework of Transformer and LSTM for enhanced state-of-charge estimation in lithium-ion batteries
    Bao, Gengyi, Liu, Xinhua, Zou, Bosong, Yang, Kaiyi, Zhao, Junwei, Zhang, Lisheng, Chen, Muyang, Qiao, Yuanting, Wang, Wentao, Tan, Rui et al. · 2025 · Energy
15. Battery state of health monitoring by estimation of the number of cyclable Li-ions
    Zhou, Xin, Stein, Jeffrey L., Ersal, Tulga · 2017 · Control Engineering Practice
16. Evaluating Real-Life Performance of Lithium-Ion Battery Packs in Electric Vehicles
    Klass, Verena, Behm, Mårten, Lindbergh, Göran · 2012 · Journal of The Electrochemical Society
17. Towards an intelligent battery management system for electric vehicle applications: Dataset considerations, algorithmic approaches, and future trends
    Lyu, Zhiqiang, Wu, Longxing, Lyu, Mohan, Yang, Jingjing, Li, Xiaoyu · 2024 · Journal of Energy Storage
18. State of Charge Estimation of Lithium-Ion Batteries Using Stacked Encoder–Decoder Bi-Directional LSTM for EV and HEV Applications
    Terala, Pranaya K., Ogundana, Ayodeji S., Foo, Simon Y., Amarasinghe, Migara Y., Zang, Huanyu · 2022 · Micromachines
19. Advanced SOC and SOH Estimation Methods for EV Batteries—A Review
    Singirikonda, Srinivas, Obulesu, Y. P. · 2021 · Lecture Notes in Electrical Engineering
20. An LSTM-Based Encoder-Decoder Model for State-of-Charge Estimation of Lithium-Ion Batteries
    Cui, Shengmin, Yong, Xiaowa, Kim, Sanghwan, Hong, Seokjoon, Joe, Inwhee · 2020 · Advances in Intelligent Systems and Computing
21. State of Charge Estimation of Lithium-ion Battery Based on Recurrent Neural Network
    Liu, Zhengqi, Jia, Wanqing, Liu, Tian, Chang, Yating, Li, Jing · 2020 · 2020 Asia Energy and Electrical Engineering Symposium (AEEES)
22. Economic Impacts and Mitigation for the Grid Connected Electric Vehicle Charging: A Technical and Operational Overview
    Ikhajangbe, Oyakhilome Ereme, Dhulipati, Himavarsha, Liu, Shichao · 2026 · IEEE Access
23. State-of-charge estimation of commercial electric vehicles by using battery-aware transformer network algorithms
    Mu, Bao-Qi, Doukhi, Oualid, Wang, Linfeng, Lee, Deok-Jin · 2025 · Journal of Computational Design and Engineering