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 …

State of charge estimation for lithium-ion batteries using model-based and data-driven methods: A review

DNT How, MA Hannan, MSH Lipu, PJ Ker - Ieee Access, 2019 - ieeexplore.ieee.org
Lithium-ion battery is an appropriate choice for electric vehicle (EV) due to its promising
features of high voltage, high energy density, low self-discharge and long lifecycles. The …

A review on data-driven SOC estimation with Li-Ion batteries: Implementation methods & future aspirations

D Sesidhar, C Badachi, RC Green II - Journal of Energy Storage, 2023 - Elsevier
The goal to minimize global carbon emissions from fossil fuels and diesel-powered vehicles
has encouraged the development of electric vehicles and associated battery storage …

Estimation of lithium-ion batteries state-condition in electric vehicle applications: issues and state of the art

K Laadjal, AJM Cardoso - Electronics, 2021 - mdpi.com
Lithium-ion batteries are the most used these days for charging electric vehicles (EV). It is
important to study the aging of batteries because the deterioration of their characteristics …

[HTML][HTML] A novel methodology to study and compare active energy-balance architectures with dynamic equalization for second-life battery applications

R Di Rienzo, N Nicodemo, A Verani, F Baronti… - Journal of Energy …, 2023 - Elsevier
The continuous growth of the electric vehicles market and the increasing environmental
awareness impose to search for innovative solutions to reuse the exhausted vehicle …

[HTML][HTML] Benchmarking battery management system algorithms-Requirements, scenarios and validation for automotive applications

F Berger, D Joest, E Barbers, K Quade, Z Wu… - eTransportation, 2024 - Elsevier
State estimators are crucial for the effective use of batteries in real-world applications.
Insufficient algorithms can lead to user dissatisfaction, safety risks, and accelerated battery …

[HTML][HTML] State of charge estimation techniques of Li-ion battery of electric vehicles

A Singh, K Pal, CB Vishwakarma - e-Prime-Advances in Electrical …, 2023 - Elsevier
The Lithium-ion batteries are widely utilized in the electric car, bus, and two-wheeler
industries because of their high energy density, low cost, extended lifespan, high power …

FPGA implementation of an ant colony optimization based SVM algorithm for state of charge estimation in li-ion batteries

M Stighezza, V Bianchi, I De Munari - Energies, 2021 - mdpi.com
Monitoring the State of Charge (SoC) in battery cells is necessary to avoid damage and to
extend battery life. Support Vector Machine (SVM) algorithms and Machine Learning …

Cloud-based optimization of a battery model parameter identification algorithm for battery state-of-health estimation in electric vehicles

R Di Rienzo, N Nicodemo, R Roncella, R Saletti… - Batteries, 2023 - mdpi.com
Connectivity and cloud computing are key elements in the future of electric mobility. They
allow manufacturers to provide advanced fleet management and predictive diagnostic …

Controller area network reliability: overview of design challenges and safety related perspectives of future transportation systems

NM Ben Lakhal, O Nasri, L Adouane… - IET Intelligent …, 2020 - Wiley Online Library
The in‐vehicular networked control system is among the most critical embedded processes.
The controller area network (CAN) has prevailed intra‐vehicle communication for decades …