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Estimation of state of charge considering impact of vibrations on traction battery pack
Interest towards electric vehicle adoption is on the rise due to the lower running and maintenance cost it offers, along with zero tailpipe...
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Hybrid optimized deep learning approach for prediction of battery state of charge, state of health and state of temperature
Lithium-ion batteries are becoming more popular due to their superior performance like high power density, long lifespan, broad operating range of...
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Enhanced lithium–ion battery state of charge estimation in electric vehicles using extended Kalman filter and deep neural network
In an electric vehicle, it is crucial to accurately determine the remaining energy in the battery pack, commonly referred to as the state of charge....
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State of Charge Estimation of Lithium-Ion Battery Using Energy Consumption Analysis
The traditional electric current integral algorithm cannot accurately estimate a lithium-ion battery’s state of charge (SOC) under complex discharge...
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Electric Vehicle Battery State of Charge Prediction Based on Graph Convolutional Network
The state of charge (SoC) of a vehicle battery can tend to vary depending on the driver’s driving patterns and circumstances. To accurately predict...
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A Comprehensive Review of Categorization and Perspectives on State-of-Charge Estimation Using Deep Learning Methods for Electric Transportation
Lithium-ion batteries are an excellent choice for electric transportation because of their high energy density, minimum self-discharge, and prolonged...
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Accurate state of charge prediction for lithium-ion batteries in electric vehicles using deep learning and dimensionality reduction
One of the most crucial and pricey parts of electric automobiles is the battery. The state of charge of lithium-ion batteries, which are primarily...
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Optimal Cell Equalizing Control Based on State of Charge Feedback for Lithium-ion Battery Pack
This paper presents a cell optimal equalizing control method for Lithium-Ion battery pack formed by many cells connected in series in order to...
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State of charge estimation for Li-ion battery based intelligent algorithms
State of charge (SOC) is a crucial index for a battery’s energy assessment. Its estimation is becoming an increasing challenge in order to assure the...
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Robust state of charge and state of health estimation for batteries using a novel multi model approach
Estimation of state-of-charge and state-of-health for batteries is one of the most important feature for modern battery management system (BMS)....
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Data-Driven Methods for Predicting the State of Health, State of Charge, and Remaining Useful Life of Li-Ion Batteries: A Comprehensive Review
Lithium-ion batteries are widely used in electric vehicles, electronic devices, and energy storage systems owing to their high energy density, long...
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Model-based estimation of state of charge and state of power of a lithium ion battery pack and their effects on energy management in hybrid electric vehicles
This paper presents the effect of modeling uncertainty of a lithium ion battery pack on the accuracies of state of charge (SOC) and state of power...
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Lithium-Ion Battery State of Charge Estimation Using Least Squares Support Vector Machine
Electric vehicles (EVs) are being developed in response to the decline of fossil fuels and growing concerns about the environment. To power these...
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State of Charge Estimation in Electric Vehicles Using Improved Strong Tracking Kalman Filter Algorithm
Electric vehicles Battery management system observes the state of charge of Lithium Ion battery by controlling the parameters such as voltage,...
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Combined EKF–LSTM algorithm-based enhanced state-of-charge estimation for energy storage container cells
The core equipment of lithium-ion battery energy storage stations is containers composed of thousands of batteries in series and parallel. Accurately...
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A robust modified adaptive extended Kalman filter for state- of-charge estimation of rechargeable battery under dynamic operating condition
In an electric automotive, accurate estimation of state of charge (SOC) ensures the safety and reliability of the battery. Due to ease of...
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Adaptive estimation for time-varying state-of-charge of lithium-ion battery with consideration of temperature distribution
Usually, state-of-charge (SOC) is a time-varying process and its parameters are influenced by temperature distribution. However, almost all existing...
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A New Voltage Compensation and State of Charge-Assisted Power Sharing Strategy for DC Microgrids
Direct current (DC) microgrid has recently gained potential interest since it supports easy integration of distributed generators (DGs) and energy...
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State of Charge Estimation of Ultracapacitor Modules Based on Improved Sage-Husa Adaptive Unscented Kalman Filter Algorithm
In the field of new energy electric vehicles, ultracapacitor modules are often used as energy storage batteries. Precise estimation of state of...
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Examining the influence of sampling frequency on state-of-charge estimation accuracy using long short-term memory models
Lithium-ion batteries’ state-of-charge prediction (SoC) cannot be directly measured due to their chemical structure. Therefore, a prediction can be...
