State of health prediction of lithium-ion batteries based on machine learning: Advances and perspectives
Accurate state of health (SOH) prediction is significant to guarantee operation safety and
avoid latent failures of lithium-ion batteries. With the development of communication and …
avoid latent failures of lithium-ion batteries. With the development of communication and …
Hybrid methods using neural network and Kalman filter for the state of charge estimation of lithium‐ion battery
Z Cui, J Dai, J Sun, D Li, L Wang… - … Problems in Engineering, 2022 - Wiley Online Library
With the increasing carbon emissions worldwide, lithium‐ion batteries have become the
main component of energy storage systems for clean energy due to their unique …
main component of energy storage systems for clean energy due to their unique …
State-of-health estimation of lithium-ion batteries by fusing an open circuit voltage model and incremental capacity analysis
The state of health (SOH) is a vital parameter enabling the reliability and life diagnostic of
lithium-ion batteries. A novel fusion-based SOH estimator is proposed in this study, which …
lithium-ion batteries. A novel fusion-based SOH estimator is proposed in this study, which …
Adaptive robust unscented Kalman filter-based state-of-charge estimation for lithium-ion batteries with multi-parameter updating
L Wang, J Ma, X Zhao, X Li, K Zhang, Z Jiao - Electrochimica Acta, 2022 - Elsevier
Abstract State-of-charge (SOC) estimation is one of the key technologies for the
development and application of battery management system (BMS). To achieve high …
development and application of battery management system (BMS). To achieve high …
Charging optimization for Li-ion battery in electric vehicles: A review
Battery electric vehicles (BEVs) are advocated due to their environmental benign
characteristic. However, the long charging time and the degradation caused by fast charging …
characteristic. However, the long charging time and the degradation caused by fast charging …
Load current and state-of-charge coestimation for current sensor-free lithium-ion battery
The installation of current sensors on lithium-ion batteries (LIBs) can be challenging due to
practical constraints in specific applications like portable electronics and smart batteries …
practical constraints in specific applications like portable electronics and smart batteries …
A novel method of parameter identification and state of charge estimation for lithium-ion battery energy storage system
Battery energy storage system (BESS) has been widely used for the expansion of the
electricity grid. Accurate state of charge (SOC) estimation of BESS is essential for ensuring …
electricity grid. Accurate state of charge (SOC) estimation of BESS is essential for ensuring …
Implementing an extended Kalman filter for SoC estimation of a Li-ion battery with hysteresis: A step-by-step guide
B Rzepka, S Bischof, T Blank - Energies, 2021 - mdpi.com
The growing share of renewable energies in power production and the rise of the market
share of battery electric vehicles increase the demand for battery technologies. In both fields …
share of battery electric vehicles increase the demand for battery technologies. In both fields …
State-of-charge estimation for onboard LiFePO4 batteries with adaptive state update in specific open-circuit-voltage ranges
Accurate estimation of the state-of-charge (SOC) is crucial for efficient and safe battery
applications. However, existing SOC estimation methods fail to provide accurate SOC …
applications. However, existing SOC estimation methods fail to provide accurate SOC …
Robust state of charge estimation for Li-ion batteries based on cubature kalman filter with generalized maximum correntropy criterion
Kalman filters (KFs) are widely used for state-of-charge (SOC) estimation of Li-ion batteries
due to their excellent dynamic tracking capability. Especially the cubature KF (CKF), with the …
due to their excellent dynamic tracking capability. Especially the cubature KF (CKF), with the …