Adaptive unscented Kalman filter based state of energy and power capability estimation approach for lithium-ion battery
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Online SOE estimators using filters achieved acceptable results, but their intricate filtering algorithms produced heavy computational burdens for BMS microprocessors with limited computational capability.
“These online estimators achieved acceptable results, but the intricate filtering algorith m produced heavy computational burdens for the micro-processors in the BMSs, wh ich were always with limited co mputational capability.”
From A Practical Lithium-Ion Battery Model for State of Energy and Voltage Responses Prediction Incorporating Temperature and Ageing Effects (2018) · cites this paper as [20]
Due to omission of initial SOE, estimated SOE of online filters based on AUKF and dual filters remained diverged until 10 minutes after estimation started.
“However, due to the omission of the initial SOE, the estimated SOE of the online filters based on, for example AUKF [19,20] and dual filters [21], remained diverged until 10 minutes after the estimat ion started.”
From A Practical Lithium-Ion Battery Model for State of Energy and Voltage Responses Prediction Incorporating Temperature and Ageing Effects (2018) · cites this paper as [20]
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A multi-timescale framework for state monitoring and lifetime prognosis of lithium-ion batteries
Wei, J., & Chen, C. (2021) · Energy · doi:10.1016/j.energy.2021.120684 · Cited by 26 · see citing works
A Novel State Estimation Approach Based on Adaptive Unscented Kalman Filter for Electric Vehicles
Li, J., Ye, M., Jiao, S., Wei, M., & Xu, X. (2020) · IEEE Access · doi:10.1109/access.2020.3030260 · Cited by 25 · see citing works
Zhao, X., Nam, J., Jung, H., & Jung, S. (2023) · Journal of Energy Storage · doi:10.1016/j.est.2023.109146 · Cited by 25 · see citing works
Xie, J., Ma, J., & Chen, J. (2018) · International Journal of Energy Research · doi:10.1002/er.4227 · Cited by 25 · see citing works
Qiao, X., Wang, Z., Hou, E., Liu, G., & Cai, Y. (2022) · Energies · doi:10.3390/en15124373 · Cited by 24 · see citing works
Tu, H., Borah, M., Moura, S. J., Wang, Y., & Fang, H. (2024) · Applied Energy · doi:10.1016/j.apenergy.2024.124086 · Cited by 22 · see citing works
Determination of Lithium-Ion Battery Capacity for Practical Applications
Bašić, H., Bobanac, V., & Pandžić, H. (2023) · Batteries · doi:10.3390/batteries9090459 · Cited by 21 · see citing works
Liu, S.-Q., Wang, J., Liu, Q., Tang, J. W., Liu, H., Zhou, Y., & Pan, X. (2020) · IEEE Transactions on Power Electronics · doi:10.1109/tpel.2020.3001020 · Cited by 21 · see citing works
A Real-Time Blockchain-Based State Estimation System for Battery Energy Storage Systems
Mohammadi, F., Sanjari, M. J., & Saif, M. (2022) · IEEE Kansas Power and Energy Conference (KPEC) · doi:10.1109/kpec54747.2022.9814731 · Cited by 21 · see citing works
Adaptive Importance Sampling Unscented Kalman Filter based SAR image super resolution
Kanakaraj, S., Nair, P. (. ). M. S., & Kalady, S. (2019) · Computers & Geosciences · doi:10.1016/j.cageo.2019.104310 · Cited by 21 · see citing works
Peak Power Estimation of Vanadium Redox Flow Batteries Based on Receding Horizon Control
Xiong, B., Dong, S., Li, Y., Tang, J., Su, Y., & Gooi, H. B. (2022) · IEEE Journal of Emerging and Selected Topics in Power Electronics · doi:10.1109/jestpe.2022.3152588 · Cited by 20 · see citing works
Estimation of Lithium-Ion Battery SOC Model Based on AGA-FOUKF Algorithm
Fang, C., Jin, Z., Wu, J., & Liu, C. (2021) · Frontiers in Energy Research · doi:10.3389/fenrg.2021.769818 · Cited by 18 · see citing works
State of Energy Estimation of Lithium Titanate Battery for Rail Transit Application
Zhai, G., Liu, S., Wang, Z., Zhang, W., & Ma, Z. (2017) · Energy Procedia · doi:10.1016/j.egypro.2017.03.681 · Cited by 19 · see citing works
Self-citationNan, J., Deng, B., Cao, W., & Tan, Z. (2022) · World Electric Vehicle Journal · doi:10.3390/wevj13020025 · Cited by 20 · see citing works
- Authors
- Zhang, W., Shi, W., & Ma, Z.
- Affiliations
- Beijing Jiaotong University (CN)
- Corresponding author
- Zhang, Weige
- Venue
- Journal of Power Sources
- Publisher
- Elsevier BV
- Published
- 2015-09
- Volume
- 289
- Pages
- 50-62
- ISSN
- 0378-7753 (ISSN-L)
- OpenAlex
- W652828899
- Cited by
- 178
- References
- 32
- Citations by year
- 2026: 6 · 2025: 6 · 2024: 10 · 2023: 19 · 2022: 22 · 2021: 18 · 2020: 13 · 2019: 22 · 2018: 22 · 2017: 25 · 2016: 9 · 2015: 6
- FWCI
- 21.35
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Power Sources (publishedVersion)
- Funders
- National High Technology Research and Development Program of China (2013BAG24B02)
- Topics
- Physical Sciences › Engineering › Automotive Engineering › Advanced Battery Technologies Research
- Physical Sciences › Engineering › Control and Systems Engineering › Control Systems and Identification
- Physical Sciences › Engineering › Automotive Engineering › Electric and Hybrid Vehicle Technologies
- Keywords
- lithium-ion batteries, state of energy estimation, adaptive unscented Kalman filter, joint state estimation, response surface model, lithium iron phosphate batteries, battery degradation, electric vehicles, operating temperature effects
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