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 …
A critical review on inconsistency mechanism, evaluation methods and improvement measures for lithium-ion battery energy storage systems
With the rapid development of electric vehicles and smart grids, the demand for battery
energy storage systems is growing rapidly. The large-scale battery system leads to …
energy storage systems is growing rapidly. The large-scale battery system leads to …
A numerical analysis on multi-stage Tesla valve based cold plate for cooling of pouch type Li-ion batteries
The operating temperature can significantly influence the performance, cycle life, and safety
of Li-ion batteries used in electric vehicles. One of the critical factors is to assess the …
of Li-ion batteries used in electric vehicles. One of the critical factors is to assess the …
Electric vehicle battery pack state of charge estimation using parallel artificial neural networks
Lithium-ion battery (LiB) packs are commonly used for Electric Vehicle (EV) applications.
However, accurate battery pack State of Charge (SOC) estimation is crucial for optimal …
However, accurate battery pack State of Charge (SOC) estimation is crucial for optimal …
Review of clustering technology and its application in coordinating vehicle subsystems
Clustering is an unsupervised learning technology, and it groups information (observations
or datasets) according to similarity measures. Develo** clustering algorithms is a hot topic …
or datasets) according to similarity measures. Develo** clustering algorithms is a hot topic …
Development of recycling strategy for large stacked systems: Experimental and machine learning approach to form reuse battery packs for secondary applications
Secondary battery utilization is one of the most promising strategies to solve the problem of
battery recycling in the future. The objective of this research is to provide practical solutions …
battery recycling in the future. The objective of this research is to provide practical solutions …
Machine learning promotes the development of all-solid-state batteries
Lithium-ion batteries (LIBs) are a promising energy storage system for green energy
applications. However, the use of liquid electrolytes in LIBs results in safety and lifespan …
applications. However, the use of liquid electrolytes in LIBs results in safety and lifespan …
Regrou** and echelon utilization of retired lithium-ion batteries based on a novel support vector clustering approach
To avoid severe resource waste and environmental pollution problems, research on the
retirement of power lithium-ion batteries (LIBs) for electric vehicles (EVs) has attracted …
retirement of power lithium-ion batteries (LIBs) for electric vehicles (EVs) has attracted …
A review of battery equalizer circuits for electric vehicle applications
Electric vehicles (EVs) are an alternative to internal combustion engine (ICE) cars, as they
can reduce the environmental impact of transportation. The bottleneck for EVs is the high …
can reduce the environmental impact of transportation. The bottleneck for EVs is the high …
Heat transfer efficiency enhancement of lithium-ion battery packs by using novel design of herringbone fins
Lithium-ion batteries are currently being produced and used in large quantities in the
automobile sector as a clean alternative to fossil fuels. The thermal behavior of the battery …
automobile sector as a clean alternative to fossil fuels. The thermal behavior of the battery …