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State of health estimation of lithium-ion battery based on improved ant lion optimization and support vector regression
The state of health (SOH) estimation plays an important role in kee** the safe and stable
operation of lithium-ion battery management system (BMS). To solve the problem of low …
operation of lithium-ion battery management system (BMS). To solve the problem of low …
State of health estimation for Li-Ion battery using incremental capacity analysis and Gaussian process regression
The state of health for lithium battery is necessary to ensure the reliability and safety for
battery energy storage system. Accurate prediction battery state of health plays an extremely …
battery energy storage system. Accurate prediction battery state of health plays an extremely …
Synchronous estimation of state of health and remaining useful lifetime for lithium-ion battery using the incremental capacity and artificial neural networks
S Zhang, B Zhai, X Guo, K Wang, N Peng… - Journal of Energy …, 2019 - Elsevier
The state of health (SOH) and remaining useful lifetime (RUL) estimation are important
parameters for battery health forecasting as they reflect the health condition of battery and …
parameters for battery health forecasting as they reflect the health condition of battery and …
A rapid online calculation method for state of health of lithium-ion battery based on coulomb counting method and differential voltage analysis
Accurate estimation of state of health (SOH) is crucial for battery management system in
ensuring the reliability and safety for system operation. For SOH estimation, the model …
ensuring the reliability and safety for system operation. For SOH estimation, the model …
A state‐of‐health estimation method considering capacity recovery of lithium batteries
Y Guo, P Yu, C Zhu, K Zhao, L Wang… - International Journal of …, 2022 - Wiley Online Library
At present, the rapid development of new energy sources makes lithium‐ion batteries (LIBs)
widely used, but LIBs will inevitably age during using. State of health (SOH) is a direct …
widely used, but LIBs will inevitably age during using. State of health (SOH) is a direct …
Physics-informed machine learning model for battery state of health prognostics using partial charging segments
The accurate and efficient estimation of battery state-of-health (SoH) is an ever-significant
issue for applications of lithium-ion batteries (LIBs). Physics-of-failure (PoF) and machine …
issue for applications of lithium-ion batteries (LIBs). Physics-of-failure (PoF) and machine …
Incremental capacity analysis based adaptive capacity estimation for lithium-ion battery considering charging condition
B Jiang, H Dai, X Wei - Applied Energy, 2020 - Elsevier
Incremental capacity analysis (ICA) has been widely employed to investigate the
degradation mechanism and perform the capacity estimation of lithium-ion batteries …
degradation mechanism and perform the capacity estimation of lithium-ion batteries …
[HTML][HTML] Research on health state estimation methods of lithium-ion battery for small sample data
Y Wang, D Meng, Y Wang, R Li, Y Zhou - Energy Reports, 2022 - Elsevier
Abstract The SOH (State of Health) of lithium-ion batteries is an important feature that
characterizes the reliable operation of energy storage systems. In this study, according to the …
characterizes the reliable operation of energy storage systems. In this study, according to the …
Capacity degradation prediction of lithium-ion battery based on artificial bee colony and multi-kernel support vector regression
Lithium-ion battery (LIB) capacity degradation prediction plays an important role in the
prediction of battery health degradation. Accurate prediction of its capacity can guide battery …
prediction of battery health degradation. Accurate prediction of its capacity can guide battery …
State of health estimation for lithium-ion batteries based on fusion of autoregressive moving average model and elman neural network
This paper proposes a fusion model based on the autoregressive moving average (ARMA)
model and Elman neural network (NN) to achieve accurate prediction for the state of health …
model and Elman neural network (NN) to achieve accurate prediction for the state of health …