A novel method of battery state-of-health estimation and remaining useful life prediction based on grid search-support vector regression

References

• Chang, Yang, Huajing Fang, and Yong Zhang. 2017. “A New Hybrid Method for the Prediction of the Remaining Useful Life of a Lithium-Ion Battery.” Applied Energy 206: 1564–1578.
   Web of Science ®Google Scholar
• Cui, Zhenhua, Licheng Wang, Qiang Li, and Kai Wang. 2022. “A Comprehensive Review on the State of Charge Estimation for Lithium-Ion Battery Based on Neural Network.” International Journal of Energy Research 46 (5): 5423–5440.
   Web of Science ®Google Scholar
• Deng, Zhongwei, Xiaosong Hu, Penghua Li, Xianke Lin, and Xiaolei Bian. 2022. “Data-Driven Battery State of Health Estimation Based on Random Partial Charging Data.” IEEE Transactions on Power Electronics 37 (5): 5021–5031.
   Web of Science ®Google Scholar
• Gou, B., Y. Xu, and X. Feng. 2020. “State-of-Health Estimation and Remaining-Useful-Life Prediction for Lithium-Ion Battery Using a Hybrid Data-Driven Method.” IEEE Transactions on Vehicular Technology 69 (10): 10854–10867.
   Web of Science ®Google Scholar
• Gou, Bin, Yan Xu, and Xue Feng. 2020. “State-of-Health Estimation and Remaining-Useful-Life Prediction for Lithium-Ion Battery Using a Hybrid Data-Driven Method.” IEEE Transactions on Vehicular Technology 69 (10): 10854–10867.
   Web of Science ®Google Scholar
• Hu, Xiaosong, Hao Yuan, Changfu Zou, Zhe Li, and Lei Zhang. 2018. “Co-Estimation of State of Charge and State of Health for Lithium-Ion Batteries Based on Fractional-Order Calculus.” IEEE Transactions on Vehicular Technology 67 (11): 10319–10329.
   Web of Science ®Google Scholar
• Klass, Verena, Mårten Behm, and Göran Lindbergh. 2014. “A Support Vector Machine-Based State-of-Health Estimation Method for Lithium-Ion Batteries Under Electric Vehicle Operation.” Journal of Power Sources 270: 262–272.
   Web of Science ®Google Scholar
• Li, Qianglong, Dezhi Li, Kun Zhao, Licheng Wang, and Kai Wang. 2022. “State of Health Estimation of Lithium-Ion Battery Based on Improved Ant Lion Optimization and Support Vector Regression.” Journal of Energy Storage 50.
   Web of Science ®Google Scholar
• Lin, Chun-Pang, Javier Cabrera, Fangfang Yang, Man-Ho Ling, Kwok-Leung Tsui, and Suk-Joo Bae. 2020. “Battery State of Health Modeling and Remaining Useful Life Prediction Through Time Series Model.” Applied Energy 275: 115338.
   Web of Science ®Google Scholar
• Liu, Chunli, Qiang Li, and Kai Wang. 2021. “State-of-Charge Estimation and Remaining Useful Life Prediction of Supercapacitors.” Renewable & Sustainable Energy Reviews 150: 111408.
   Web of Science ®Google Scholar
• Long, Bing, Weiming Xian, Lin Jiang, and Zhen Liu. 2013. “An Improved Autoregressive Model by Particle Swarm Optimization for Prognostics of Lithium-Ion Batteries.” Microelectronics and Reliability 53 (6): 821–831.
   Web of Science ®Google Scholar
• Olivares, B. E., Matias A. Cerda Munoz, M. E. Orchard, and J. F. Silva. 2013. “Particle-Filtering-Based Prognosis Framework for Energy Storage Devices with a Statistical Characterization of State-of-Health Regeneration Phenomena.” IEEE Transactions on Instrumentation and Measurement 62 (2): 364–376.
   Web of Science ®Google Scholar
• Seaman, Aden, Thanh-Son Dao, and John McPhee. 2014. “A Survey of Mathematics-Based Equivalent-Circuit and Electrochemical Battery Models for Hybrid and Electric Vehicle Simulation.” Journal of Power Sources 256: 410–423.
   Web of Science ®Google Scholar
• Wang, Y., Y. Ni, N. Li, S. Lu, S. Zhang, Z. Feng, and J. Wang. 2019. “A Method Based on Improved ant Lion Optimization and Support Vector Regression for Remaining Useful Life Estimation of Lithium-Ion Batteries.” Energy Science & Engineering 7 (6): 2797–2813.
   Web of Science ®Google Scholar
• Wang, Yujie, Jiaqiang Tian, Zhendong Sun, Li Wang, Ruilong Xu, Mince Li, and Zonghai Chen. 2020. “A Comprehensive Review of Battery Modeling and State Estimation Approaches for Advanced Battery Management Systems.” Renewable & Sustainable Energy Reviews 131: 110015.
   Web of Science ®Google Scholar
• Wang, Yujie, Li Wang, Mince Li, and Zonghai Chen. 2020. “A Review of Key Issues for Control and Management in Battery and Ultra-Capacitor Hybrid Energy Storage Systems.” Etransportation 4: 100064.
   Google Scholar
• Wang, Xiaoping, Fei Zhang, Hsiang-te Kung, Verner Carl Johnson, and Aamir Latif. 2020. “Extracting Soil Salinization Information with a Fractional-Order Filtering Algorithm and Grid-Search Support Vector Machine (GS-SVM) Model.” International Journal of Remote Sensing 41 (3): 953–973.
   Web of Science ®Google Scholar
• Wassiliadis, Nikolaos, Jörn Adermann, Alexander Frericks, Mikhail Pak, Christoph Reiter, Boris Lohmann, and Markus Lienkamp. 2018. “Revisiting the Dual Extended Kalman Filter for Battery State-of-Charge and State-of-Health Estimation: A Use-Case Life Cycle Analysis.” Journal of Energy Storage 19: 73–87.
   Web of Science ®Google Scholar