Novel strategy based on improved Kalman filter algorithm for state of health evaluation of hybrid electric vehicles Li-ion batteries during short- and longer term operating conditions
暂无分享,去创建一个
Shunli Wang | Wen Cao | Mingfang He | Pu Ren | Shunli Wang | Wen Cao | Mingfang He | Pu Ren
[1] Boyang Liu,et al. Real-time aging trajectory prediction using a base model-oriented gradient-correction particle filter for Lithium-ion batteries , 2019, Journal of Power Sources.
[2] Xu Guo,et al. A rapid online calculation method for state of health of lithium-ion battery based on coulomb counting method and differential voltage analysis , 2020 .
[3] Yujie Wang,et al. A framework for state-of-charge and remaining discharge time prediction using unscented particle filter , 2020 .
[4] Hongwen He,et al. State of charge-dependent aging mechanisms in graphite/Li(NiCoAl)O2 cells: Capacity loss modeling and remaining useful life prediction , 2019 .
[5] Xuning Feng,et al. Online State-of-Health Estimation for Li-Ion Battery Using Partial Charging Segment Based on Support Vector Machine , 2019, IEEE Transactions on Vehicular Technology.
[6] Guangzhong Dong,et al. Noise-Immune Model Identification and State-of-Charge Estimation for Lithium-Ion Battery Using Bilinear Parameterization , 2021, IEEE Transactions on Industrial Electronics.
[7] Hongwen He,et al. Future smart battery and management: Advanced sensing from external to embedded multi-dimensional measurement , 2021 .
[8] Rui Xiong,et al. State-of-Health Estimation Based on Differential Temperature for Lithium Ion Batteries , 2020, IEEE Transactions on Power Electronics.
[9] Yan Xu,et al. State-of-Health Estimation and Remaining-Useful-Life Prediction for Lithium-Ion Battery Using a Hybrid Data-Driven Method , 2020, IEEE Transactions on Vehicular Technology.
[10] Jie Tang,et al. A data-driven fuzzy information granulation approach for battery state of health forecasting , 2020 .
[11] Zhan Ma,et al. Multilayer SOH Equalization Scheme for MMC Battery Energy Storage System , 2020, IEEE Transactions on Power Electronics.
[12] Xiaosong Hu,et al. State estimation for advanced battery management: Key challenges and future trends , 2019, Renewable and Sustainable Energy Reviews.
[13] Sheng Liu,et al. Reduced-Coupling Coestimation of SOC and SOH for Lithium-Ion Batteries Based on Convex Optimization , 2020, IEEE Transactions on Power Electronics.
[14] Xiaosong Hu,et al. An enhanced multi-state estimation hierarchy for advanced lithium-ion battery management , 2020 .
[15] Zonghai Chen,et al. A comprehensive review of battery modeling and state estimation approaches for advanced battery management systems , 2020 .
[16] Dirk Uwe Sauer,et al. Parameter sensitivity analysis of electrochemical model-based battery management systems for lithium-ion batteries , 2020 .
[17] Penghua Li,et al. State-of-health estimation and remaining useful life prediction for the lithium-ion battery based on a variant long short term memory neural network , 2020, Journal of Power Sources.
[18] Longcheng Liu,et al. A model for state-of-health estimation of lithium ion batteries based on charging profiles , 2019, Energy.
[19] Zhile Yang,et al. Lithium-ion battery charging management considering economic costs of electrical energy loss and battery degradation , 2019, Energy Conversion and Management.
[20] Guangcai Zhao,et al. Transfer Learning With Long Short-Term Memory Network for State-of-Health Prediction of Lithium-Ion Batteries , 2020, IEEE Transactions on Industrial Electronics.
[21] Sudipta Bijoy Sarmah,et al. Numerical and experimental investigation of state of health of Li-ion battery , 2020 .
[22] Datong Liu,et al. A hybrid statistical data-driven method for on-line joint state estimation of lithium-ion batteries , 2020 .
[23] Yujie Wang,et al. A fractional-order model-based state estimation approach for lithium-ion battery and ultra-capacitor hybrid power source system considering load trajectory , 2020 .
[24] Ji Wu,et al. A Novel Estimation Method for the State of Health of Lithium-Ion Battery Using Prior Knowledge-Based Neural Network and Markov Chain , 2019, IEEE Transactions on Industrial Electronics.
[25] Xiaosong Hu,et al. Battery Lifetime Prognostics , 2020 .
[26] Jonghyun Park,et al. A comprehensive single-particle-degradation model for battery state-of-health prediction , 2020 .
[27] Ruikai Zhao,et al. An open circuit voltage-based model for state-of-health estimation of lithium-ion batteries: Model development and validation , 2020 .
[28] Yujie Wang,et al. Experimental study of fractional-order models for lithium-ion battery and ultra-capacitor: Modeling, system identification, and validation , 2020 .
[29] Fei Feng,et al. Co-estimation of lithium-ion battery state of charge and state of temperature based on a hybrid electrochemical-thermal-neural-network model , 2020 .
[30] Peng Zhao,et al. Fast charging optimization for lithium-ion batteries based on dynamic programming algorithm and electrochemical-thermal-capacity fade coupled model , 2019, Journal of Power Sources.
[31] Yujie Wang,et al. Model migration based battery power capability evaluation considering uncertainties of temperature and aging , 2019, Journal of Power Sources.
[32] Hongwen He,et al. Big data driven lithium-ion battery modeling method based on SDAE-ELM algorithm and data pre-processing technology , 2019, Applied Energy.
[33] Guangzhao Luo,et al. Multiobjective Optimization of Data-Driven Model for Lithium-Ion Battery SOH Estimation With Short-Term Feature , 2020, IEEE Transactions on Power Electronics.
[34] Akihiko Kudo,et al. Development of status detection method of lithium-ion rechargeable battery for hybrid electric vehicles , 2021 .
[35] Ebrahim Farjah,et al. Online Parameter Estimation for Supercapacitor State-of-Energy and State-of-Health Determination in Vehicular Applications , 2020, IEEE Transactions on Industrial Electronics.