Lithium battery prognostics and health management for electric vehicle application–A perspective review

R Kumar, K Das - Sustainable Energy Technologies and Assessments, 2024 - Elsevier
Lithium-ion batteries exhibit a dynamic electrochemical system that experiences challenges
such as aging and degradation over time. The challenges vary under operational and …

Techno-economic analysis of cooling technologies used in electric vehicle battery thermal management: A review

SS Rawat, R Kumar - Journal of Energy Storage, 2024 - Elsevier
The concept of energy storage is undergoing an important transformation because of the
continuing sustainable energy revolution, with battery technology emerging as a leading …

Comparative analysis of data-driven electric vehicle battery health models across different operating conditions

R Kumar, K Das, A Krishna - Energy, 2024 - Elsevier
The work covers the development of a data-driven algorithm and computes the performance
of learning models for lithium-ion battery state of health (SOH) estimation. A wide range of …

Comparative Analysis of Commonly Used Machine Learning Approaches for Li-Ion Battery Performance Prediction and Management in Electric Vehicles

S Oyucu, F Doğan, A Aksöz, E Biçer - Applied Sciences, 2024 - mdpi.com
The significant role of Li-ion batteries (LIBs) in electric vehicles (EVs) emphasizes their
advantages in terms of energy density, being lightweight, and being environmentally …

[HTML][HTML] State-of-Health prediction of lithium-ion batteries based on a low dimensional Gaussian Process Regression

S Pohlmann, A Mashayekh, F Stroebl… - Journal of Energy …, 2024 - Elsevier
An accurate determination of the condition of a battery is a key challenge in operation. As
the performance of lithium-ion batteries is degrading over time, an accurate prediction of the …

A Novel Data-Envelopment Analysis Interval-Valued Fuzzy-Rough-Number Multi-Criteria Decision-Making (DEA-IFRN MCDM) Model for Determining the Efficiency of …

D Andjelković, G Stojić, N Nikolić, DK Das, M Subotić… - Mathematics, 2024 - mdpi.com
The capacity of transport infrastructure is one of the very important tasks in transport
engineering, which depends mostly on the geometric characteristics of road and headway …

[HTML][HTML] Robotised disassembly of electric vehicle batteries: A systematic literature review

T Kaarlela, E Villagrossi, A Rastegarpanah… - Journal of Manufacturing …, 2024 - Elsevier
This review examines the robotic disassembly of electric vehicle batteries, a critical concern
as the adoption of electric vehicles increases worldwide. This work provides a …

[HTML][HTML] A review on state-of-charge estimation methods, energy storage technologies and state-of-the-art simulators: recent developments and challenges

T Kunatsa, HC Myburgh, A De Freitas - World Electric Vehicle Journal, 2024 - mdpi.com
Exact state-of-charge estimation is necessary for every application related to energy storage
systems to protect the battery from deep discharging and overcharging. This leads to an …

Energy consumption prediction strategy for electric vehicle based on LSTM-transformer framework

Z Feng, J Zhang, H Jiang, X Yao, Y Qian, H Zhang - Energy, 2024 - Elsevier
As the market share of electric vehicles (EVs) continues to grow, driving range capability has
emerged as a primary concern for drivers, car manufacturers, and policymakers. Accurate …

[HTML][HTML] State of the Art in Electric Batteries' State-of-Health (SoH) Estimation with Machine Learning: A Review

GR Sylvestrin, JN Maciel, MLM Amorim, JP Carmo… - Energies, 2025 - mdpi.com
The sustainable reuse of batteries after their first life in electric vehicles requires accurate
state-of-health (SoH) estimation to ensure safe and efficient repurposing. This study applies …