Review on the battery model and SOC estimation method
W Zhou, Y Zheng, Z Pan, Q Lu - Processes, 2021 - mdpi.com
The accuracy of the power battery model and SOC estimation directly affects the vehicle
energy management control strategy and the performance of the electric vehicle, which is of …
energy management control strategy and the performance of the electric vehicle, which is of …
A comprehensive review of available battery datasets, RUL prediction approaches, and advanced battery management
Battery ensures power solutions for many necessary portable devices such as electric
vehicles, mobiles, and laptops. Owing to the rapid growth of Li-ion battery users, unwanted …
vehicles, mobiles, and laptops. Owing to the rapid growth of Li-ion battery users, unwanted …
Data-driven lithium-ion batteries capacity estimation based on deep transfer learning using partial segment of charging/discharging data
Accurate estimation of lithium-ion battery capacity is crucial for ensuring its safety and
reliability. While data-driven modelling is a common approach for capacity estimation …
reliability. While data-driven modelling is a common approach for capacity estimation …
Lithium-ion battery capacity estimation—A pruned convolutional neural network approach assisted with transfer learning
Online battery capacity estimation is a critical task for battery management system to
maintain the battery performance and cycling life in electric vehicles and grid energy storage …
maintain the battery performance and cycling life in electric vehicles and grid energy storage …
A multi-feature-based multi-model fusion method for state of health estimation of lithium-ion batteries
Battery state-of-health (SOH) estimation is a critical concern of the battery management
system, which significantly affects the safe and stable operation of electric vehicles. The …
system, which significantly affects the safe and stable operation of electric vehicles. The …
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 …
An adaptive capacity estimation approach for lithium-ion battery using 10-min relaxation voltage within high state of charge range
Capacity estimation is essential for battery health management during the whole lifecycle.
The data-driven technique has shown advanced performance in battery capacity estimation …
The data-driven technique has shown advanced performance in battery capacity estimation …
Current sensor fault diagnosis method based on an improved equivalent circuit battery model
Battery management systems (BMSs) are very important to ensure the safety of electric
vehicles. The normal operation of BMSs is highly dependent on the accuracy of battery …
vehicles. The normal operation of BMSs is highly dependent on the accuracy of battery …
The capacity estimation and cycle life prediction of lithium-ion batteries using a new broad extreme learning machine approach
Y Ma, L Wu, Y Guan, Z Peng - Journal of Power Sources, 2020 - Elsevier
Lithium-ion batteries have become the main power source of many electronic devices.
Accurate capacity estimation and cycle life prediction of lithium-ion batteries are of great …
Accurate capacity estimation and cycle life prediction of lithium-ion batteries are of great …
Lithium battery state-of-health estimation and remaining useful lifetime prediction based on non-parametric aging model and particle filter algorithm
X Li, C Yuan, Z Wang, J He, S Yu - Etransportation, 2022 - Elsevier
State of health estimation (SOH) and remaining useful lifetime (RUL) prediction are
significant health indicators for improving the safety and reliability of battery systems. Herein …
significant health indicators for improving the safety and reliability of battery systems. Herein …