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A Review of Lithium-Ion Battery State of Health Estimation and Prediction Methods

open access: yesWorld Electric Vehicle Journal, 2021
Lithium-ion power batteries have been widely used in transportation due to their advantages of long life, high specific power, and energy. However, the safety problems caused by the inaccurate estimation and prediction of battery health state have ...
Lei Yao   +6 more
doaj   +2 more sources

Deep learning to estimate lithium-ion battery state of health without additional degradation experiments

open access: yesNature Communications, 2023
Estimation of Li-ion battery state of health is crucial but requires time- and resource-consuming degradation tests for development. Here, authors propose a deep-learning method that enables accurate estimations without additional tests, ensuring ...
Jiahuan Lu   +4 more
semanticscholar   +1 more source

State-of-health estimation of lithium-ion batteries based on electrochemical impedance spectroscopy: a review

open access: yesProtection and Control of Modern Power Systems, 2023
Lithium-ion batteries (LIBs) are crucial for the large-scale utilization of clean energy. However, because of the complexity and real-time nature of internal reactions, the mechanism of capacity decline in LIBs is still unclear.
Yanshuo Liu   +3 more
semanticscholar   +1 more source

Scientific and targeted prevention and control measures to optimize COVID‐19 response

open access: yesHealth Care Science, 2023
Since the outbreak of the COVID‐19 pandemic, under the strong leadership of the Central Committee of the Communist Party of China and President Xi Jinping, China has made firm decisions to prioritize people's lives and health.
Released by the Taskforce for Joint Prevention and Control Mechanism for COVID‐19 under the State Council and the National Health Commission of P.R. China on November 11, 2022
doaj   +1 more source

State of Health Estimation Methods for Lithium-Ion Batteries

open access: yesInternational Journal of Energy Research, 2023
Contemporary lithium-ion batteries (LIBs) are one of the main components of energy storage systems that need effective management to extend service life and increase reliability and safety.
Gulzat Nuroldayeva   +4 more
semanticscholar   +1 more source

Physics-Informed Neural Networks for State of Health Estimation in Lithium-Ion Batteries

open access: yesJournal of the Electrochemical Society, 2023
One of the most challenging tasks of modern battery management systems is the accurate state of health estimation. While physico-chemical models are accurate, they have high computational cost.
Tobias Hofmann   +5 more
semanticscholar   +1 more source

Dual Closed-Loops Capacity Evolution Prediction for Energy Storage Batteries Integrated with Coupled Electrochemical Model

open access: yesWorld Electric Vehicle Journal, 2021
The health assessment for energy storage batteries matters in the context of carbon neutrality. Dual closed-loops capacity framework integrated with a reduced-order electrochemical model including triple side reactions is put forward, realizing parameter
Bowen Xu   +5 more
doaj   +1 more source

Estimating the State of Health of Lithium-Ion Batteries with a High Discharge Rate through Impedance

open access: yesEnergies, 2021
Lithium-ion batteries are an attractive power source in many scenarios. In some particular cases, including providing backup power for drones, frequency modulation, and powering electric tools, lithium-ion batteries are required to discharge at a high ...
Shida Jiang, Zhengxiang Song
doaj   +1 more source

Improving SOH estimation for lithium-ion batteries using TimeGAN

open access: yesMachine Learning: Science and Technology, 2023
Recently, the xEV market has been expanding by strengthening regulations on fossil fuel vehicles. It is essential to ensure the safety and reliability of batteries, one of the core components of xEVs. Furthermore, estimating the battery’s state of health
Sujin Seol   +3 more
doaj   +1 more source

Battery State of Health Estimation with Improved Generalization Using Parallel Layer Extreme Learning Machine

open access: yesEnergies, 2021
The online estimation of battery state of health (SOH) is crucial to ensure the reliability of the energy supply in electric and hybrid vehicles. An approach for enhancing the generalization of SOH estimation using a parallel layer extreme learning ...
Ethelbert Ezemobi   +2 more
doaj   +1 more source

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