POLISOC: A hybrid state of charge estimation algorithm for lithium-ion batteries based on electrical and mechanical measurements
Author
Abstract
Suggested Citation
DOI: 10.1016/j.apenergy.2025.126740
Download full text from publisher
As the access to this document is restricted, you may want to
for a different version of it.References listed on IDEAS
- Miriam A. Figueroa-Santos & Jason B. Siegel & Anna G. Stefanopoulou, 2020. "Leveraging Cell Expansion Sensing in State of Charge Estimation: Practical Considerations," Energies, MDPI, vol. 13(10), pages 1-24, May.
- Pistorio, Francesca & Clerici, Davide & Somà, Aurelio, 2025. "Diagnostics methodology based on differential mechanical measurements for lithium-ion batteries," Applied Energy, Elsevier, vol. 397(C).
- Li, Yihuan & Li, Kang & Liu, Xuan & Li, Xiang & Zhang, Li & Rente, Bruno & Sun, Tong & Grattan, Kenneth T.V., 2022. "A hybrid machine learning framework for joint SOC and SOH estimation of lithium-ion batteries assisted with fiber sensor measurements," Applied Energy, Elsevier, vol. 325(C).
- Davide Clerici & Francesco Mocera & Aurelio Somà, 2020. "Analytical Solution for Coupled Diffusion Induced Stress Model for Lithium-Ion Battery," Energies, MDPI, vol. 13(7), pages 1-20, April.
- Chen, Junxiong & Feng, Xiong & Jiang, Lin & Zhu, Qiao, 2021. "State of charge estimation of lithium-ion battery using denoising autoencoder and gated recurrent unit recurrent neural network," Energy, Elsevier, vol. 227(C).
- Clerici, Davide & Pistorio, Francesca & Somà, Aurelio, 2025. "Aging diagnostics in lithium-ion batteries with differential mechanical measurements," Applied Energy, Elsevier, vol. 386(C).
- Dai, Haifeng & Yu, Chenchen & Wei, Xuezhe & Sun, Zechang, 2017. "State of charge estimation for lithium-ion pouch batteries based on stress measurement," Energy, Elsevier, vol. 129(C), pages 16-27.
- Li, Yi & Zou, Changfu & Berecibar, Maitane & Nanini-Maury, Elise & Chan, Jonathan C.-W. & van den Bossche, Peter & Van Mierlo, Joeri & Omar, Noshin, 2018. "Random forest regression for online capacity estimation of lithium-ion batteries," Applied Energy, Elsevier, vol. 232(C), pages 197-210.
- Valerio Martini & Francesco Mocera & Aurelio Somà, 2022. "Numerical Investigation of a Fuel Cell-Powered Agricultural Tractor," Energies, MDPI, vol. 15(23), pages 1-19, November.
- Ye, Min & Guo, Hui & Cao, Binggang, 2017. "A model-based adaptive state of charge estimator for a lithium-ion battery using an improved adaptive particle filter," Applied Energy, Elsevier, vol. 190(C), pages 740-748.
- Jiang, Bo & Tao, Siyi & Wang, Xueyuan & Zhu, Jiangong & Wei, Xuezhe & Dai, Haifeng, 2023. "Mechanics-based state of charge estimation for lithium-ion pouch battery using deep learning technique," Energy, Elsevier, vol. 278(PA).
- He, Hongwen & Xiong, Rui & Peng, Jiankun, 2016. "Real-time estimation of battery state-of-charge with unscented Kalman filter and RTOS μCOS-II platform," Applied Energy, Elsevier, vol. 162(C), pages 1410-1418.
- Yu, Miao & Zhu, Yuhao & Gu, Xin & Li, Jinglun & Shang, Yunlong, 2024. "Co-estimation and definition for states of health and charge of lithium-ion batteries using expansion," Energy, Elsevier, vol. 308(C).
- Sun, Fengchun & Hu, Xiaosong & Zou, Yuan & Li, Siguang, 2011. "Adaptive unscented Kalman filtering for state of charge estimation of a lithium-ion battery for electric vehicles," Energy, Elsevier, vol. 36(5), pages 3531-3540.
- Yang, Fangfang & Li, Weihua & Li, Chuan & Miao, Qiang, 2019. "State-of-charge estimation of lithium-ion batteries based on gated recurrent neural network," Energy, Elsevier, vol. 175(C), pages 66-75.
- Francesca Pistorio & Davide Clerici & Francesco Mocera & Aurelio Somà, 2022. "Review on the Experimental Characterization of Fracture in Active Material for Lithium-Ion Batteries," Energies, MDPI, vol. 15(23), pages 1-47, December.
- Hongwen He & Hongzhou Qin & Xiaokun Sun & Yuanpeng Shui, 2013. "Comparison Study on the Battery SoC Estimation with EKF and UKF Algorithms," Energies, MDPI, vol. 6(10), pages 1-13, September.
- Yi, Yahui & Xia, Chengyu & Shi, Lei & Meng, Leifeng & Chi, Qifu & Qian, Liqin & Ma, Tiancai & Chen, Siqi, 2024. "Lithium-ion battery expansion mechanism and Gaussian process regression based state of charge estimation with expansion characteristics," Energy, Elsevier, vol. 292(C).
- Davide Clerici & Francesco Mocera & Aurelio Somà, 2021. "Experimental Characterization of Lithium-Ion Cell Strain Using Laser Sensors," Energies, MDPI, vol. 14(19), pages 1-17, October.
- Hu, Chao & Youn, Byeng D. & Chung, Jaesik, 2012. "A multiscale framework with extended Kalman filter for lithium-ion battery SOC and capacity estimation," Applied Energy, Elsevier, vol. 92(C), pages 694-704.
- Huang, Jianhua & Zhu, Guoqing & Guo, Dongliang & Huang, Jia & Xiao, Peng & Liu, Tong, 2025. "Study on the extreme early warning method of thermal runaway utilizing li-ion battery strain," Applied Energy, Elsevier, vol. 384(C).
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Pistorio, Francesca & Clerici, Davide & Somà, Aurelio, 2026. "POLIDEMO: An electrochemical-mechanical framework for modeling lithium-ion batteries degradation," Applied Energy, Elsevier, vol. 404(C).
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Pistorio, Francesca & Clerici, Davide & Somà, Aurelio, 2026. "POLIDEMO: An electrochemical-mechanical framework for modeling lithium-ion batteries degradation," Applied Energy, Elsevier, vol. 404(C).
- Wu, Yan & Wang, Tong & Zhu, Keming & Xu, Yingying & Ma, Haoyuan & Luo, Jiayuan & Tang, Xiaoyu & Huang, Yuqi, 2025. "Enhancing cross-temperature state-of-charge estimation accuracy for lithium-ion batteries using multi-physics features and physical guidance," Energy, Elsevier, vol. 333(C).
- Pistorio, Francesca & Clerici, Davide & Somà, Aurelio, 2025. "Diagnostics methodology based on differential mechanical measurements for lithium-ion batteries," Applied Energy, Elsevier, vol. 397(C).
- Yong Tian & Bizhong Xia & Mingwang Wang & Wei Sun & Zhihui Xu, 2014. "Comparison Study on Two Model-Based Adaptive Algorithms for SOC Estimation of Lithium-Ion Batteries in Electric Vehicles," Energies, MDPI, vol. 7(12), pages 1-19, December.
- Wu, Muyao & Tan, Changpeng & Wang, Li, 2025. "Thermo-mechanical behavior evolution analysis and fusion SOC estimation of cylindrical LiFePO4 batteries," Energy, Elsevier, vol. 338(C).
- Yi, Yahui & Xia, Chengyu & Shi, Lei & Meng, Leifeng & Chi, Qifu & Qian, Liqin & Ma, Tiancai & Chen, Siqi, 2024. "Lithium-ion battery expansion mechanism and Gaussian process regression based state of charge estimation with expansion characteristics," Energy, Elsevier, vol. 292(C).
- Ren, Xiaoqing & Liu, Shulin & Yu, Xiaodong & Dong, Xia, 2021. "A method for state-of-charge estimation of lithium-ion batteries based on PSO-LSTM," Energy, Elsevier, vol. 234(C).
- Wang, Yujie & Tian, Jiaqiang & Sun, Zhendong & Wang, Li & Xu, Ruilong & Li, Mince & Chen, Zonghai, 2020. "A comprehensive review of battery modeling and state estimation approaches for advanced battery management systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 131(C).
- Chai, Xuqing & Li, Shihao & Liang, Fengwei, 2024. "A novel battery SOC estimation method based on random search optimized LSTM neural network," Energy, Elsevier, vol. 306(C).
- Miquel Martí-Florences & Andreu Cecilia & Ramon Costa-Castelló, 2023. "Modelling and Estimation in Lithium-Ion Batteries: A Literature Review," Energies, MDPI, vol. 16(19), pages 1-36, September.
- Clerici, Davide & Pistorio, Francesca & Somà, Aurelio, 2025. "Aging diagnostics in lithium-ion batteries with differential mechanical measurements," Applied Energy, Elsevier, vol. 386(C).
- Huang, Haichi & Bian, Chong & Wu, Mengdan & An, Dong & Yang, Shunkun, 2024. "A novel integrated SOC–SOH estimation framework for whole-life-cycle lithium-ion batteries," Energy, Elsevier, vol. 288(C).
- Bizhong Xia & Haiqing Wang & Yong Tian & Mingwang Wang & Wei Sun & Zhihui Xu, 2015. "State of Charge Estimation of Lithium-Ion Batteries Using an Adaptive Cubature Kalman Filter," Energies, MDPI, vol. 8(6), pages 1-21, June.
- Molla Shahadat Hossain Lipu & Tahia F. Karim & Shaheer Ansari & Md. Sazal Miah & Md. Siddikur Rahman & Sheikh T. Meraj & Rajvikram Madurai Elavarasan & Raghavendra Rajan Vijayaraghavan, 2022. "Intelligent SOX Estimation for Automotive Battery Management Systems: State-of-the-Art Deep Learning Approaches, Open Issues, and Future Research Opportunities," Energies, MDPI, vol. 16(1), pages 1-31, December.
- Zhibing Zeng & Jindong Tian & Dong Li & Yong Tian, 2018. "An Online State of Charge Estimation Algorithm for Lithium-Ion Batteries Using an Improved Adaptive Cubature Kalman Filter," Energies, MDPI, vol. 11(1), pages 1-16, January.
- Wenxian Duan & Chuanxue Song & Silun Peng & Feng Xiao & Yulong Shao & Shixin Song, 2020. "An Improved Gated Recurrent Unit Network Model for State-of-Charge Estimation of Lithium-Ion Battery," Energies, MDPI, vol. 13(23), pages 1-19, December.
- Hu, Lin & Hu, Xiaosong & Che, Yunhong & Feng, Fei & Lin, Xianke & Zhang, Zhiyong, 2020. "Reliable state of charge estimation of battery packs using fuzzy adaptive federated filtering," Applied Energy, Elsevier, vol. 262(C).
- Takyi-Aninakwa, Paul & Wang, Shunli & Zhang, Hongying & Yang, Xiao & Fernandez, Carlos, 2023. "A hybrid probabilistic correction model for the state of charge estimation of lithium-ion batteries considering dynamic currents and temperatures," Energy, Elsevier, vol. 273(C).
- Takyi-Aninakwa, Paul & Wang, Shunli & Zhang, Hongying & Yang, Xiaoyong & Fernandez, Carlos, 2022. "An optimized long short-term memory-weighted fading extended Kalman filtering model with wide temperature adaptation for the state of charge estimation of lithium-ion batteries," Applied Energy, Elsevier, vol. 326(C).
- Li, Hao & Fu, Lijun & Long, Xinlin & Liu, Lang & Zeng, Ziqing, 2024. "A hybrid deep learning model for lithium-ion batteries state of charge estimation based on quantile regression and attention," Energy, Elsevier, vol. 294(C).
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:appene:v:401:y:2025:i:pc:s0306261925014709. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.
Printed from https://ideas.repec.org/a/eee/appene/v401y2025ipcs0306261925014709.html