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An Indirect State-of-Health Estimation Method for Lithium-Ion Battery Based on Correlation Analysis and Long Short-Term Memory Network
State of Health (SOH) is a key indicator to describe battery’s health status, which is important in terms of extending battery life, reducing...
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State-of-health estimation of Lithium-ion battery based on back-propagation neural network with adaptive hidden layer
The reliability and safety of lithium-ion batteries (LIBs) are key issues in battery applications. Accurate prediction of the state-of-health (SOH)...
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Machine Learning Health Estimation for Lithium-Ion Batteries Under Varied Conditions
To mitigate intermittency from renewable energy sources and present a sustainable alternative to fossil-fuel-based transportation, battery energy...
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Distributed computing based on AI algorithms in battery early warning and SoH prediction of the intelligent connected vehicles
The foremost task of the battery management system is to estimate the end-of-life batteries, their capacity and internal resistance, which are...
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RUL prediction for lithium-ion batteries based on variational mode decomposition and hybrid network model
Lithium-ion batteries are widely used in the field of electric vehicles and energy storage due to their superior performance. However, with increased...
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A MDA-LSTM network for remaining useful life estimation of lithium batteries
Remaining useful life (RUL) of energy storage batteries estimation is of great significance to battery failure warning and battery safety. Previous...
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SOCXAI: Leveraging CNN and SHAP Analysis for Battery SOC Estimation and Anomaly Detection
In the domain of battery energy storage systems for Electric Vehicles (EVs) applications and beyond, the adoption of machine learning techniques has...
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An efficient surrogate model method considering the candidate sample pool reduction by safety optimal hypersphere for random-interval mixed reliability analysis
Under the random and interval mixed uncertainties, the structural safety level is measured by the upper and lower bounds of failure probability...
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Accurate remaining useful life estimation of lithium-ion batteries in electric vehicles based on a measurable feature-based approach with explainable AI
As Electric Vehicles (EVs) become increasingly prevalent, accurately estimating Lithium-ion Batteries (LIBs) Remaining Useful Life (RUL) is crucial...
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Battery Management System-Based Fuzzy Logic
To solve the issue of battery charge-discharge and associated damage brought on by incorrect estimates of the battery efficiency, fuzzy logic is used...
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Characterization of the State of Health of Electronic Devices for Fostering Safety and Circular Economy
Inspired by the concept of the health of the human body, the state of health (SoH) determination of products has been gaining importance for...
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State of Charge Estimation of Lithium-Ion Battery Based on Multi-Modal Information Interaction and Fusion
The assessment of the charge status of lithium-ion batteries holds significant importance in the functioning of electric vehicles, particularly when...
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A physics-informed dynamic deep autoencoder for accurate state-of-health prediction of lithium-ion battery
Lithium-ion batteries (LIBs) are currently the standard for energy storage in portable consumer electronic devices. They are also used in electric...
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A Review on Battery Management System
In the modern era, Electric Vehicles (EVs) are widely considered as a superior alternative to traditional automobiles that rely on internal...
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Research on SOC Algorithm of Lithium Ion Battery Based on New Energy Vehicle
In recent years, energy crisis and environmental pollution have increasingly become the focus of public attention. New energy vehicles have developed...
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Real-time state-of-health monitoring of lithium-ion battery with anomaly detection, Levenberg–Marquardt algorithm, and multiphase exponential regression model
The state of health (SOH) of lithium-ion (Li + ) battery prediction plays significant roles in battery management and the determination of the...
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SocHAP: A New Data Driven Explainable Prediction of Battery State of Charge
The performance and driving range of electric vehicles are largely determined by the capabilities of their battery systems. To ensure optimal...
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A Study on Battery Controller Design for the Estimation of State of Charge (SoC) in Battery Management System for Electric Vehicle (EV)/Hybrid EV (HEV)
At present, the propulsion system of majority of vehicles on the road still depends upon the combustion of fuels to extract the energy. Combustion is...
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Comprehensive testing technology for new energy vehicle power batteries based on improved particle swarm optimization
As the new energy industry continues to progress, the health management of power batteries has become the key to ensuring the performance and safety...
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