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SOH Estimation
The battery energy and power capacities will decrease with ageing. The ageing indicator, state of health (SOH), is of great significance to the...
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A Study on LSTM-Based Lithium Battery SoH Estimation in Urban Railway Vehicle Operating Environments
This paper presents the composition of a lithium polymer battery and a battery management system used in the configuration of 10-car urban railway...
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Online estimation of SOH for lithium-ion battery based on SSA-Elman neural network
The estimation of state of health (SOH) of a lithium-ion battery (LIB) is of great significance to system safety and economic development. This paper...
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Online cell-by-cell SOC/SOH estimation method for battery module employing extended Kalman filter algorithm with aging effect consideration
As the number of series connections of battery cells increases, individual cells are operating in different temperature profiles, and the aging...
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Intelligent and Conventional Methods for SoC and SoH Estimation
Owing to the benefits of a longer life, lithium-ion power batteries with high specific power and energy have been widely used in the transportation...
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Development of Integrated Test Set for SoC-SoH Estimation of Lithium-Ion Battery
State of Charge (SoC) and State of health (SoH) of Lithium-Ion battery (LiB) are the two important parameters required for designing of reliable...
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Decoding Li-Ion Battery Longevity: Domain-Driven Approach with Advanced Feature Engineering and Machine Learning for RUL and SOH Estimation
Lithium-ion (Li-Ion) batteries have been utilized in several industrial products, ranging from consumer gadgets to electric vehicles (EVs). When...
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SOC and SOH Joint Estimation of Lithium-Ion Battery Based on Improved Particle Filter Algorithm
In order to improve the estimation accuracy of the state of charge (SOC) of lithium ion batteries and accurately estimate the state of health (SOH),...
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Rapid Impedance Spectroscopy Reconstruction Based on M Sequence for SOH Estimation of Lithium-Ion Battery
The longer measurement time and high equipment cost of traditional electrochemical impedance spectroscopy (EIS) testing techniques make it difficult...
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A Review of the Estimation of State of Charge (SOC) and State of Health (SOH) of Li-Ion Batteries in Electric Vehicles
Recently, electric vehicles (EVs) are commonly adopted as a technological solution to combat global warming. Lithium-ion batteries (LIBs) have become...
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Deep-Learning Network-Based Method for SOH Estimation of Lithium-Ion Battery for Electric Vehicles
Lithium-ion batteries are the main power source for electric vehicles (EVs), and the state-of-health (SOH) estimation of lithium-ion battery has...
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Optimizing Electric Vehicle Battery Performance: A Comparative Analysis of ANFIS and AUKFM for SOC and SOH Estimation
The rising prevalence of electric vehicles (EVs) underscores the need for effective and dependable strategies concerning the charging and discharging...
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SOH estimation of lithium-ion batteries based on least squares support vector machine error compensation model
Accurate estimation of the state of health (SOH) of lithium-ion batteries is an important determinant of their safe and stable operation. In this...
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SOH Prediction for Lithium-Ion Batteries Based on SSABP-MLR
Accurate prediction of the state of health (SOH) is important for ensuring the safe operation of lithium-ion batteries and minimizing maintenance...
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Prediction of SOH and RUL for Lithium-Ion Batteries Using Regression Method with Feature of Indirect Related to SOH (FIRSOH) and Linear Time Series Model
Lithium-ion battery state of health (SOH) and residual usable life (RUL) are two significant parameters that are typically estimated using battery...
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Novel State of Health Estimation for Lithium-Ion Battery Based on Differential Evolution Algorithm - Extreme Learning Machine
To ensure a long-term safety and reliability of electric vehicle and energy storage system, an accurate estimation of the state of health (SOH) for...
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State of health estimation of lithium-ion battery based on CNN–WNN–WLSTM
Accurate and stable estimation of the state of health (SOH), which is one of the critical indicators to characterize the ability of lithium-ion...
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Battery State of Health Estimation from Discharge Voltage Segments Using an Artificial Neural Network
Battery state of health (SOH) estimation is imperative for preventive maintenance, replacement, and end-of-life prediction of lithium ion batteries....
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Electric Vehicle Battery States Estimation During Charging Process by NARX Neural Network
The electric vehicle battery state prediction in real time is an important issue to avoid the risks of burning the battery due to over-charging or...
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State-of-health estimation of lithium-ion batteries based on electrochemical impedance spectroscopy: a review
Lithium-ion batteries (LIBs) are crucial for the large-scale utilization of clean energy. However, because of the complexity and real-time nature of...
