[HTML][HTML] China's battery electric vehicles lead the world: achievements in technology system architecture and technological breakthroughs

H He, F Sun, Z Wang, C Lin, C Zhang, R Xiong… - Green Energy and …, 2022 - Elsevier
Developing new energy vehicles has been a worldwide consensus, and developing new
energy vehicles characterized by pure electric drive has been China's national strategy …

Review on state-of-health of lithium-ion batteries: Characterizations, estimations and applications

S Yang, C Zhang, J Jiang, W Zhang, L Zhang… - Journal of Cleaner …, 2021 - Elsevier
Abstract State-of-health (SOH) monitoring of lithium-ion batteries plays a key role in the
reliable and safe operation of battery systems. Influenced by multiple factors, SOH is an …

Flexible battery state of health and state of charge estimation using partial charging data and deep learning

J Tian, R Xiong, W Shen, J Lu, F Sun - Energy Storage Materials, 2022 - Elsevier
Accurately monitoring battery states over battery life plays a central role in building
intelligent battery management systems. This study proposes a flexible method using only …

Battery state-of-charge estimation amid dynamic usage with physics-informed deep learning

J Tian, R Xiong, J Lu, C Chen, W Shen - Energy Storage Materials, 2022 - Elsevier
Accurate estimation of state of charge (SOC) constitutes the basis to enable the reliable
operations of lithium-ion batteries. The recent development in deep learning provides an …

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 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 state-of-charge estimation method of the power lithium-ion battery in complex conditions based on adaptive square root extended Kalman filter

C Jiang, S Wang, B Wu, C Fernandez, X Xiong… - Energy, 2021 - Elsevier
The control strategy of electric vehicles mainly depends on the power battery state-of-charge
estimation. One of the most important issues is the power lithium-ion battery state-of-charge …

Kalman filtering techniques for the online model parameters and state of charge estimation of the Li-ion batteries: A comparative analysis

M Hossain, ME Haque, MT Arif - Journal of Energy Storage, 2022 - Elsevier
The state of charge (SoC) is the most commonly used performance indicator of battery used
in various applications. A chronic erroneous estimation of battery SoC may result in constant …

Developing an online data-driven approach for prognostics and health management of lithium-ion batteries

S Khaleghi, MS Hosen, D Karimi, H Behi, SH Beheshti… - Applied Energy, 2022 - Elsevier
Lithium-ion batteries have achieved dominance in energy storage systems. Meanwhile,
there is a demand for the reliability of lithium-ion batteries. Battery prognostics and health …

Combined state of charge and state of energy estimation of lithium-ion battery using dual forgetting factor-based adaptive extended Kalman filter for electric vehicle …

P Shrivastava, TK Soon, MYIB Idris… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
With the increasing demand for Lithium-ion batteries in an electric vehicle (EV), it is always
crucial to develop a highly accurate and low-cost state estimation method for the battery …