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Liu et al. proposed a fault diagnosis and type identification method based on weighted Euclidean distance assessment and statistical analysis, which can effectively detect voltage inconsistencies in battery packs, and experiment results have demonstrated that this method has strong robustness and high accuracy.
Regression approach has a strong generalization ability and can achieve fast convergence speed in estimating nonlinear systems. Support vector machines and random forest techniques are widely used in battery state estimation studies.
To cope with the issue, a precision-concentrated battery defect detection method crossing different temperatures and vehicle states is constructed. The method only uses sparse and noisy voltage from existing onboard sensors.
The training process only uses data of normal batteries to cope with the inadequacy of thermal runaway battery data. The results show that the method can detect defected batteries 13 days ahead the thermal runaway while achieve the precision of 99.2%.
The variability and complexity of the real-vehicle process increase the difficulty of battery system parameter extraction. In battery system fault diagnosis, finding a suitable extraction method of fault feature parameters is the basis for battery system fault diagnosis in real-vehicle operation conditions.
ΔSOC diagnostic method is another efficient algorithm that can detect the self-discharge of a battery pack. The details of the method can be described as follows. Firstly, read the first point of the voltage value of each cell. Calculate the corresponding SOC i of each cell by looking up OCV-SOC table.
The accuracy of the power battery model and SOC estimation directly affects the vehicle energy management control strategy and the performance of the electric vehicle, …
handling vast data, identifying battery behavior patterns, and enhancing the real-time accuracy of battery state monitoring. However, existing studies, such as those by Zhang et al. (2018) and …
Power Battery Pack. ... resistance method are still applicable to the detection and judgment of high-voltage . ... Vocational and Technical Normal University [J] …
Download: Download high-res image (269KB) Download: Download full-size image This study developed a simple, convenient, and environmentally friendly paper-based …
ISC detection of a battery is critical for preventing TR and enhancing electrical vehicle safety. Feng et al. proposed a model-based internal short circuit inspection measuring …
6 · Electric and hybrid vehicles have become widespread in large cities due to the desire for environmentally friendly technologies, reduction of greenhouse gas emissions and fuel, and …
Surface temperature can be used to detect thermal faults in lithium-ion batteries, and the proposed diagnostic model can effectively locate battery units in tightly arranged battery packs. The autoencoder denoising …
For the end of the battery shell, because the field of view in imaging is small and static shooting is preferred, a surface array camera is selected. Considering the actual …
ISC detection of a battery is critical for preventing TR and enhancing electrical vehicle safety. Feng et al. proposed a model-based internal short circuit inspection measuring …
The results show that the method can detect defected batteries 13 days ahead the thermal runaway while achieve the precision of 99.2%. By the three novelties and training …
The LS556X series of high-voltage, high-precision battery internal resistance testers are special designed to meet battery industry test requirements, and it is developed for the testing of low …
The detection, judgment, and prediction of various battery states such as State of Charge (SOC) and State of Health (SOH) in the battery management system (BMS) play a …
In order to detect the behavior of egg breeders in self-breeding cages rapidly, a method of target location and behavior recognition based on visual images was proposed. In …
The analysis and detection method of charge and discharge characteristics of lithium battery based on multi-sensor fusion was studied to provide a basis for effectively …
The proposed method can efficiently and accurately detect internal short-circuit faults and has great potential for application in fault diagnosis of large energy storage battery …
In order to ensure the good operation and long life of the lithium battery pack, the parameters of the battery pack must be tested, managed and controlled reasonably and effectively. …
Extensive results demonstrates that the NLARX model{textquoteright}s promise for the precise prediction of key battery parameters and health metrics and it can be used as a useful tool for …
A good BMS can detect temperature, measure voltage and current, and control safety alarms to avoid overcharging and over-discharge. On the other hand, estimating battery State-of-Charge …
The rapid expansion of the EV market boosts the continuous development of a highly efficient battery management system (BMS) [10].LIB is a complex system that is …
Although the lithium-ion prismatic battery (LPB) has become one of the main batteries used by EV, previously published studies have tended to focus on pouch and …