Artificial Neural Networks, Gradient Boosting and Support Vector Machines for electric vehicle battery state estimation: A review
A Manoharan, KM Begam, VR Aparow… - Journal of Energy …, 2022 - Elsevier
Abstract In recent years, Artificial Intelligence has been widely used for determining the
current state of Li-ion batteries used for Electric Vehicle applications. It is crucial to have an …
current state of Li-ion batteries used for Electric Vehicle applications. It is crucial to have an …
Critical summary and perspectives on state-of-health of lithium-ion battery
B Yang, Y Qian, Q Li, Q Chen, J Wu, E Luo… - … and Sustainable Energy …, 2024 - Elsevier
The rapid development of lithium-ion battery (LIB) technology promotes its wide application
in electric vehicle (EV), aerospace, and mobile electronic equipment. During application …
in electric vehicle (EV), aerospace, and mobile electronic equipment. During application …
A novel graph-based framework for state of health prediction of lithium-ion battery
State of health (SOH) plays a vital role in lithium-ion batteries (LIBs) safety, reliability and
lifetime. Health indicators (HIs) are a powerful approach to predict battery SOH. The existing …
lifetime. Health indicators (HIs) are a powerful approach to predict battery SOH. The existing …
A change point detection integrated remaining useful life estimation model under variable operating conditions
By informing the onset of the degradation process, health status evaluation serves as a
significant preliminary step for reliable remaining useful life (RUL) estimation of complex …
significant preliminary step for reliable remaining useful life (RUL) estimation of complex …
[HTML][HTML] DGL-STFA: Predicting lithium-ion battery health with dynamic graph learning and spatial–temporal fusion attention
Z Chen, Q Qian - Energy and AI, 2025 - Elsevier
Accurately predicting the State of Health (SOH) of lithium-ion batteries is a critical challenge
to ensure their reliability and safety in energy storage systems, such as electric vehicles and …
to ensure their reliability and safety in energy storage systems, such as electric vehicles and …
Medark: a map-matching error detection and rectification framework for vehicle trajectories
The widespread use of Global Navigation Satellite System (GNSS) trackers has significantly
enhanced the availability of vehicle tracking data, providing researchers with critical insights …
enhanced the availability of vehicle tracking data, providing researchers with critical insights …
Analysis of temperature behavior and prediction model for underground permeable blocks rainwater tank source heat pump system through long-term operation
Permeable blocks rainwater tank (RW tank) source heat pump system (RWHP system) can
contribute to the development of an eco-friendly energy system. Therefore, this study …
contribute to the development of an eco-friendly energy system. Therefore, this study …
Optimally Tuned Gated Recurrent Unit Neural Network-based State of Health Estimation Scheme for Lithium Ion Batteries
The rapid advancements in electric vehicle technology have elevated the lithium-ion battery
to the forefront as the paramount energy storage solution. The battery's health tends to …
to the forefront as the paramount energy storage solution. The battery's health tends to …
State of health estimation of lithium-ion battery based on CNN–WNN–WLSTM
Q Yao, X Song, W Xie - Complex & Intelligent Systems, 2024 - Springer
Accurate and stable estimation of the state of health (SOH), which is one of the critical
indicators to characterize the ability of lithium-ion (Li-ion) batteries to store and release …
indicators to characterize the ability of lithium-ion (Li-ion) batteries to store and release …
锂离子电池状态估计机器学习方法综述
谢奕展， 程夕明 - 汽车工程, 2021 - qichegongcheng.com
本文旨在综述机器学习方法在锂离子电池状态(包括荷电状态, 健康状态和剩余可用寿命)
估计领域的研究进展. 首先, 阐述机器学习方法在电池状态估计中的应用现状. 然后 …
估计领域的研究进展. 首先, 阐述机器学习方法在电池状态估计中的应用现状. 然后 …