Physics-based battery SOC estimation methods: Recent advances and future perspectives

L Wu, Z Lyu, Z Huang, C Zhang, C Wei - Journal of Energy Chemistry, 2024 - Elsevier
The reliable prediction of state of charge (SOC) is one of the vital functions of advanced
battery management system (BMS), which has great significance towards safe operation of …

A critical review of improved deep convolutional neural network for multi-timescale state prediction of lithium-ion batteries

S Wang, P Ren, P Takyi-Aninakwa, S Jin, C Fernandez - Energies, 2022 - mdpi.com
Lithium-ion batteries are widely used as effective energy storage and have become the main
component of power supply systems. Accurate battery state prediction is key to ensuring …

State of charge estimation method by using a simplified electrochemical model in deep learning framework for lithium-ion batteries

H Yu, L Zhang, W Wang, S Li, S Chen, S Yang, J Li… - Energy, 2023 - Elsevier
To ensure the secure and healthy usage of lithium-ion batteries, it is necessary to accurately
estimate the state of charge (SOC) in battery management systems. The development of …

Low‐complexity state of charge and anode potential prediction for lithium‐ion batteries using a simplified electrochemical model‐based observer under variable load …

L Wu, H Pang, Y Geng, X Liu, J Liu… - International Journal of …, 2022 - Wiley Online Library
The accurate knowledge of the physics‐based state of charge (SOC) and anode potential for
lithium‐ion batteries (LIBs) plays an essential role in the driving range prediction and charge …

Multiscale-multidomain model order reduction of Lithium-ion batteries for automobile application: A review

S Rizvi, MW Tahir, N Ramzan, C Merten - Journal of Energy Storage, 2024 - Elsevier
Lithium-ion batteries have become a preferred choice for energy storage because of having
high energy density, lower discharge rate, and long cycle life than other battery chemistries …

State-of-health estimation of lithium-ion batteries for electrified vehicles using a reduced-order electrochemical model

S Hosseininasab, C Lin, S Pischinger… - Journal of Energy …, 2022 - Elsevier
The growing demand for Electric Vehicles (EVs) to operate reliably with ever-increasing
driving ranges means that the lithium-ion batteries are more frequently working at their …

Ultrasonic guided wave measurement and modeling analysis of the state of charge for lithium-ion battery

G Jie, Z Liangheng, L Yan, S Fan, W Bin… - Journal of Energy …, 2023 - Elsevier
This work presents the analytical acoustic model to investigate the interaction mechanism
between the state of charge (SOC) of lithium-ion battery and the propagation characteristics …

A novel feedback correction-adaptive Kalman filtering method for the whole-life-cycle state of charge and closed-circuit voltage prediction of lithium-ion batteries …

S Wang, P Takyi-Aninakwa, Y Fan, C Yu, S Jin… - International Journal of …, 2022 - Elsevier
Accurate state of charge (SOC) and closed-circuit voltage (CCV) prediction is essential for
lithium-ion batteries and their model performance. In this study, a novel feedback correction …

A novel reed‐leaves like aluminum‐doped manganese oxide presetting sodium‐ion constructed by coprecipitation method for high electrochemical performance …

K Cai, X Jing, Y Zhang, L Li… - International Journal of …, 2022 - Wiley Online Library
In this paper, Al‐doped manganese oxide with presetting sodium‐ion (Na x Mn y Al z O2) is
synthesized by a facile coprecipitation method and combines with Na3V2 (PO4) 3 cathode …

Battery state of health estimate strategies: from data analysis to end-cloud collaborative framework

K Yang, L Zhang, Z Zhang, H Yu, W Wang, M Ouyang… - Batteries, 2023 - mdpi.com
Lithium-ion batteries have become the primary electrical energy storage device in
commercial and industrial applications due to their high energy/power density, high …