A review on electric vehicles: Technologies and challenges

JA Sanguesa, V Torres-Sanz, P Garrido, FJ Martinez… - Smart Cities, 2021 - mdpi.com
Electric Vehicles (EVs) are gaining momentum due to several factors, including the price
reduction as well as the climate and environmental awareness. This paper reviews the …

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 …

An improved feedforward-long short-term memory modeling method for the whole-life-cycle state of charge prediction of lithium-ion batteries considering current …

S Wang, P Takyi-Aninakwa, S **, C Yu, C Fernandez… - Energy, 2022 - Elsevier
The whole-life-cycle state of charge (SOC) prediction plays a significant role in various
applications of lithium-ion batteries, but with great difficulties due to their internal capacity …

A comprehensive review of battery modeling and state estimation approaches for advanced battery management systems

Y Wang, J Tian, Z Sun, L Wang, R Xu, M Li… - … and Sustainable Energy …, 2020 - Elsevier
With the rapid development of new energy electric vehicles and smart grids, the demand for
batteries is increasing. The battery management system (BMS) plays a crucial role in the …

Advanced battery management strategies for a sustainable energy future: Multilayer design concepts and research trends

H Dai, B Jiang, X Hu, X Lin, X Wei, M Pecht - Renewable and Sustainable …, 2021 - Elsevier
Lithium-ion batteries are promising energy storage devices for electric vehicles and
renewable energy systems. However, due to complex electrochemical processes, potential …

[HTML][HTML] Digital twin for battery systems: Cloud battery management system with online state-of-charge and state-of-health estimation

W Li, M Rentemeister, J Badeda, D Jöst… - Journal of energy …, 2020 - Elsevier
Battery management is critical to enhancing the safety, reliability, and performance of the
battery systems. This paper presents a cloud battery management system for battery …

Data-driven state of charge estimation of lithium-ion batteries: Algorithms, implementation factors, limitations and future trends

MSH Lipu, MA Hannan, A Hussain, A Ayob… - Journal of Cleaner …, 2020 - Elsevier
Global carbon emissions caused by fossil fuels and diesel-based vehicles have urged the
necessity to move toward the development of electric vehicles and related battery storage …

State-of-charge estimation and remaining useful life prediction of supercapacitors

C Liu, Q Li, K Wang - Renewable and Sustainable Energy Reviews, 2021 - Elsevier
As a new type of energy storage device, supercapacitors are widely applied in various fields
owing to their irreplaceable extraordinary characteristics. The remaining useful life …

State of charge estimation of lithium-ion battery for electric vehicles using machine learning algorithms

V Chandran, CK Patil, A Karthick… - World Electric Vehicle …, 2021 - mdpi.com
The durability and reliability of battery management systems in electric vehicles to forecast
the state of charge (SoC) is a tedious task. As the process of battery degradation is usually …

State-of-health estimation and remaining-useful-life prediction for lithium-ion battery using a hybrid data-driven method

B Gou, Y Xu, X Feng - IEEE Transactions on Vehicular …, 2020 - ieeexplore.ieee.org
Lithium-ion (Li-ion) batteries have been widely applied in industrial applications. It is desired
to predict the health state of batteries to achieve optimal operation and health management …