Novel methods for estimating lithium-ion battery state of energy and maximum available energy
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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 [18]
Cites
The Levenberg-Marquardt algorithm: Implementation and theory
Morè, J. J. (1978) · Lecture notes in mathematics · doi:10.1007/bfb0067700 · Cited by 5,796 · see citing works
A review on the key issues for lithium-ion battery management in electric vehicles
Lu, L., Han, X., Li, J., Hua, J., & Ouyang, M. (2013) · Journal of Power Sources · doi:10.1016/j.jpowsour.2012.10.060 · Cited by 4,837 · see citing works
Extended Kalman filtering for battery management systems of LiPB-based HEV battery packs
Plett, G. L. (2004) · Journal of Power Sources · doi:10.1016/j.jpowsour.2004.02.032 · Cited by 1,927 · see citing works
Extended Kalman filtering for battery management systems of LiPB-based HEV battery packs
Plett, G. L. (2004) · Journal of Power Sources · doi:10.1016/j.jpowsour.2004.02.033 · Cited by 1,768 · see citing works
Extended Kalman filtering for battery management systems of LiPB-based HEV battery packs
Plett, G. L. (2004) · Journal of Power Sources · doi:10.1016/j.jpowsour.2004.02.031 · Cited by 1,385 · see citing works
Battery Management System: An Overview of Its Application in the Smart Grid and Electric Vehicles
Rahimi-Eichi, H., Ojha, U., Baronti, F., & Chow, M. (2013) · IEEE Industrial Electronics Magazine · doi:10.1109/mie.2013.2250351 · Cited by 965 · see citing works
A Survey on the Electrification of Transportation in a Smart Grid Environment
Su, W., Rahimi-Eichi, H., Zeng, W., & Chow, M. (2011) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2011.2172454 · Cited by 812 · see citing works
Xiong, R., Sun, F., Chen, Z., & He, H. (2013) · Applied Energy · doi:10.1016/j.apenergy.2013.07.061 · Cited by 529 · see citing works
Kim, I.-S. (2009) · IEEE Transactions on Power Electronics · doi:10.1109/tpel.2009.2034966 · Cited by 438 · see citing works
The State of Charge Estimation of Lithium-Ion Batteries Based on a Proportional-Integral Observer
Xu, J., Mi, C. C., Cao, B., Deng, J., Chen, Z., & Li, S. (2014) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2013.2287375 · Cited by 367 · see citing works
The novel state of charge estimation method for lithium battery using sliding mode observer
Kim, I.-S. (2006) · Journal of Power Sources · doi:10.1016/j.jpowsour.2006.09.006 · Cited by 359 · see citing works
Hu, X., Sun, F., & Zou, Y. (2010) · Energies · doi:10.3390/en3091586 · Cited by 284 · see citing works
On-board state of health estimation of LiFePO4 battery pack through differential voltage analysis
Wang, L., Pan, C., Liu, L., Cheng, Y., & Zhao, X. (2016) · Applied Energy · doi:10.1016/j.apenergy.2016.01.125 · Cited by 266 · see citing works
Han, X., Ouyang, M., Lu, L., & Li, J. (2014) · Journal of Power Sources · doi:10.1016/j.jpowsour.2014.08.089 · Cited by 259 · see citing works
Zhong, L., Zhang, C., He, Y., & Chen, Z. (2013) · Applied Energy · doi:10.1016/j.apenergy.2013.08.008 · Cited by 247 · see citing works
Design of a Charge Equalizer Based on Battery Modularization
Park, H.-S., Kim, C.-H., Park, K.-B., et al. (2009) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2009.2015331 · Cited by 229 · see citing works
Barillas, J. K., Li, J., Günther, C., & Danzer, M. A. (2015) · Applied Energy · doi:10.1016/j.apenergy.2015.05.102 · Cited by 201 · see citing works
A method for joint estimation of state-of-charge and available energy of LiFePO4 batteries
Wang, Y., Zhang, C., & Chen, Z. (2014) · Applied Energy · doi:10.1016/j.apenergy.2014.08.081 · Cited by 200 · see citing works
A method for state of energy estimation of lithium-ion batteries based on neural network model
Dong, G., Zhang, X., Zhang, C., & Chen, Z. (2015) · Energy · doi:10.1016/j.energy.2015.07.120 · Cited by 187 · see citing works
Zhang, W., Shi, W., & Ma, Z. (2015) · Journal of Power Sources · doi:10.1016/j.jpowsour.2015.04.148 · Cited by 178 · see citing works
Liu, X., Wu, J., Zhang, C., & Chen, Z. (2014) · Journal of Power Sources · doi:10.1016/j.jpowsour.2014.07.107 · Cited by 176 · see citing works
A novel Gaussian model based battery state estimation approach: State-of-Energy
He, H., Zhang, Y., Xiong, R., & Wang, C. (2015) · Applied Energy · doi:10.1016/j.apenergy.2015.04.062 · Cited by 127 · see citing works
He, H., Xiong, R., & Peng, J. (2015) · Applied Energy · doi:10.1016/j.apenergy.2015.01.120 · Cited by 127 · see citing works
DESA: Dependable, Efficient, Scalable Architecture for Management of Large-Scale Batteries
Kim, H., & Shin, K. G. (2011) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2011.2166771 · Cited by 96 · see citing works
Wang, S., Shang, L., Li, Z., Deng, H., & Li, J. (2016) · Applied Energy · doi:10.1016/j.apenergy.2016.01.013 · Cited by 75 · see citing works
Mamadou, K., Lemaire, E., Delaille, A., Riu, D., Hing, S. E., & Bultel, Y. (2012) · Journal of The Electrochemical Society · doi:10.1149/2.075208jes · Cited by 73 · see citing works
Mamadou, K., Delaille, A., Lemaire-Potteau, E., & Bultel, Y. (2010) · ECS Transactions · doi:10.1149/1.3414008 · Cited by 45 · see citing works
Khan, M. R., Mulder, G., & Mierlo, J. V. (2013) · Journal of Power Sources · doi:10.1016/j.jpowsour.2013.07.092 · Cited by 38 · see citing works
Embedded implementation of SOC estimation based on the Luenberger observer technique
Zheng, L., Jiang, J., Wang, Z., Zhao, T., & He, T. (2014) · IEEE Transportation Electrification Conference and Expo, Asia-Pacific (ITEC Asia-Pacific) · doi:10.1109/itec-ap.2014.6941037 · Cited by 15 · see citing works
Self-citationState of Energy Estimation Based on AUKF for Lithium Battery Used on Pure Electric Vehicle
Liu, H. W., Wang, H. F., & Guo, C. (2012) · Advanced materials research · doi:10.4028/www.scientific.net/amr.608-609.1627 · Cited by 5 · see citing works
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Shrivastava, P., Naidu, P. A., Sharma, S., Panigrahi, B. K., & Garg, A. (2023) · Journal of Energy Storage · doi:10.1016/j.est.2023.107159 · Cited by 205 · see citing works
Li, K., Wei, F., Tseng, K. J., & Soong, B.-H. (2018) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2017.2779411 · Cited by 160 · see citing works
Chen, L., Song, Y., Lopes, A. M., Bao, X., Zhang, Z., & Lin, Y. (2024) · IEEE Transactions on Transportation Electrification · doi:10.1109/tte.2023.3291501 · Cited by 85 · see citing works
- Authors
- Zheng, L., Zhu, J., Wang, G., He, T., & Wei, Y.
- Affiliations
- University of Technology Sydney (AU)
- Corresponding author
- Zheng, Linfeng
- Venue
- Applied Energy
- Publisher
- Elsevier BV
- Published
- 2016-09
- Volume
- 178
- Pages
- 1-8
- ISSN
- 0306-2619 (ISSN-L)
- OpenAlex
- W2439050690
- Cited by
- 92
- References
- 30
- Citations by year
- 2026: 8 · 2025: 7 · 2024: 16 · 2023: 17 · 2022: 10 · 2021: 10 · 2020: 7 · 2019: 3 · 2018: 6 · 2017: 6 · 2016: 2
- FWCI
- 4.94
- Type
- journal article
- Language
- en
- Open access
- green
- hdl.handle.net
- Locations
- Applied Energy (publishedVersion)
- OPUS - Open Publications of UTS Scholars (University of Technology Sydney) (submittedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- Australian Seafood Cooperative Research Centre
- Topics
- Physical Sciences › Engineering › Automotive Engineering › Advanced Battery Technologies Research
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Advancements in Battery Materials
- Physical Sciences › Engineering › Automotive Engineering › Electric and Hybrid Vehicle Technologies
- Keywords
- lithium-ion batteries, state of energy, state of charge, moving window technique, ambient temperature effects, cellular aging, energy storage systems
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