A study on trends and developments in electric vehicle charging technologies

S Hemavathi, A Shinisha - Journal of energy storage, 2022 - Elsevier
The involvement of electric vehicles (EVs) is increasing over the past few years due to
several factors including the increasing emission of carbon dioxide (CO2), depletion of fossil …

Towards long lifetime battery: AI-based manufacturing and management

K Liu, Z Wei, C Zhang, Y Shang… - IEEE/CAA Journal of …, 2022 - ieeexplore.ieee.org
Technologies that accelerate the delivery of reliable battery-based energy storage will not
only contribute to decarbonization such as transportation electrification, smart grid, but also …

Improved singular filtering-Gaussian process regression-long short-term memory model for whole-life-cycle remaining capacity estimation of lithium-ion batteries …

S Wang, F Wu, P Takyi-Aninakwa, C Fernandez… - Energy, 2023 - Elsevier
For the development of low-temperature power systems in aviation, the transport synergistic
carrier optimization of lithium-ions and electrons is conducted to improve the low …

Data-driven battery state of health estimation based on random partial charging data

Z Deng, X Hu, P Li, X Lin, X Bian - IEEE Transactions on Power …, 2021 - ieeexplore.ieee.org
The rapid development of battery technology has promoted the deployment of electric
vehicles (EVs). To ensure the healthy and sustainable development of EVs, it is urgent to …

A critical look at coulomb counting approach for state of charge estimation in batteries

K Movassagh, A Raihan, B Balasingam, K Pattipati - Energies, 2021 - mdpi.com
In this paper, we consider the problem of state-of-charge estimation for rechargeable
batteries. Coulomb counting is a well-known method for estimating the state of charge, and it …

Battery thermal runaway fault prognosis in electric vehicles based on abnormal heat generation and deep learning algorithms

D Li, P Liu, Z Zhang, L Zhang, J Deng… - … on Power Electronics, 2022 - ieeexplore.ieee.org
Efficient battery thermal runaway prognosis is of great importance for ensuring safe
operation of electric vehicles (EVs). This presents formidable challenges under widely …

Online identification of battery model parameters and joint state of charge and state of health estimation using dual particle filter algorithms

Y Xu, X Chen, H Zhang, F Yang, L Tong… - … Journal of Energy …, 2022 - Wiley Online Library
Aiming at the problems of time‐varying battery parameters and inaccurate estimations of
state of charge (SOC) and state of health (SOH), a joint estimation algorithm of SOC and …

Data-driven battery state of health estimation based on interval capacity for real-world electric vehicles

R Li, J Hong, H Zhang, X Chen - Energy, 2022 - Elsevier
State of health (SOH) estimation is critical to the safety of battery systems in real-world
electric vehicles. Accurate battery health status is difficult to be measured during dynamic …

A comprehensive review of battery state of charge estimation techniques

MU Hassan, S Saha, ME Haque, S Islam… - Sustainable Energy …, 2022 - Elsevier
Battery energy storage systems are becoming an integral part of the modern power grid,
mainly to maximise the utilisation of renewable energy sources and negate the intermittence …

Charging optimization for Li-ion battery in electric vehicles: A review

C Chen, Z Wei, AC Knoll - IEEE Transactions on Transportation …, 2021 - ieeexplore.ieee.org
Battery electric vehicles (BEVs) are advocated due to their environmental benign
characteristic. However, the long charging time and the degradation caused by fast charging …