CT is a stereoscopic imaging technology that enables three-dimensional detection of the internal structure of batteries without any blind spots, allowing for comprehensive assessment of various components such as pole plates, pole ears, coated electrode materials, and battery shells.
CT is a stereoscopic imaging technology that enables three-dimensional detection of the internal structure of batteries without any blind spots, allowing for comprehensive assessment of various components such as pole plates, pole ears, coated electrode materials, and battery shells.
In this paper, an initial microfault diagnosis method is proposed for the data of electric vehicles in actual operation. First, a robust locally weighted regression data smoothing method is proposed that can effectively remove …
To tackle the issues described above, this work focuses on three LiB pack faults (i.e., sensor fault, connection fault and ESC fault), and proposes a graph-based method to locate the anomaly voltage sensors and detect the fault types of LiB packs. More specifically, the graph-based method takes advantages of deep autoencoder and the structure ...
Honda researchers in Japan developed a BMS that disconnects the battery pack from the EV when it is hit by a crash, severe bumps, or malfunctions, preventing more serious accidents. The BMS developed by China''s BYD uses a distributed design to avoid the drawbacks of a centralized structure.
A lithium iron phosphate battery with a rated capacity of 1.1 Ah is used as the simulation object, and battery fault data are collected under different driving cycles. To enhance the realism of the simulation, the experimental design is based on previous studies ( Feng et al., 2018, Xiong et al., 2019, Zhang et al., 2019 ), incorporating fault fusion based on the fault characteristics.
This study investigates a novel fault diagnosis and abnormality detection method for battery packs of electric scooters based on statistical distribution of operation data that are stored in...
Lithium-ion battery packs are widely deployed as power sources in transportation electrification solutions. To ensure safe and reliable operation of battery packs, it is of critical importance to monitor operation status and diagnose the running faults in a timely manner. This study investigates a novel fault diagnosis and abnormality detection ...
Fault Diagnosis and Abnormality Detection of Lithium-ion Battery Packs Based on Statistical Distribution Qiao Xue1, Guang Li2, Yuanjian Zhang3, Shiquan Shen1, Zheng Chen1, 2*, and Yonggang Liu4 ...
Abusive lithium-ion battery operations can induce micro-short circuits, which can develop into severe short circuits and eventually thermal runaway events, a significant safety concern in lithium-ion battery packs. This paper aims to detect and quantify micro-short circuits before they become a safety issue. We develop offline batch least square-based and real-time gradient …
The capacity inconsistency among commercial lithium-ion battery packs is an important factor affecting their service life. However, there is still a lack of detection methods to accurately test the capacity consistency of lithium-ion battery packs at cell level. To solve this problem, a non-destructive testing method for capacity consistency of lithium-ion battery pack …
This technology provides many benefits like a longer lifetime, high storage, stability, and capacity. Although, LIB needs a stable environment without failures to operate and maintain performance and safety . To maintain the parameters of the LIB in the controlled conditions, the BMS is used to balance the voltage and control the charging and discharging …
A lithium iron phosphate battery with a rated capacity of 1.1 Ah is used as the simulation …
One of the main obstacles for the reliability and safety of a lithium‐ion battery pack is the difficulty in guaranteeing its capacity consistency at harsh operating conditions, while the key solution is accurate detection of cell capacity inconsistency within the battery pack without taking it apart for destructive testing. Here, an in situ and nondestructive technology is …
The performance inconsistency of lithium-ion battery packs is one of the key factors that lead to their accelerated lifespan degradation and reduced reliability. Hence, it is of great significance to accurately detect the consistency of cell parameters within the pack without destructive testing. The working current of the cell is the most direct and effective parameter to characterize the ...
One of the main obstacles for the reliability and safety of a lithium-ion battery pack is the difficulty in guaranteeing its capacity consistency at harsh operating conditions, while the key solution is accurate detection of cell capacity inconsistency within the battery pack without taking it apart for destructive testing. Here, an in situ and nondestructive technology is …
In this paper, an initial microfault diagnosis method is proposed for the data of electric vehicles in actual operation. First, a robust locally weighted regression data smoothing method is proposed that can effectively remove noisy data and retain fault characteristics.
Honda researchers in Japan developed a BMS that disconnects the battery …
A Comprehensive Review on Advanced Fault Detection Techniques of Lithium-ion Battery Packs in Electric Vehicle Applications. Conventional engine-powered vehicles gradually decline in sales due to their emission effects as well as the unavailability of fuels in 2030. Alternatively, Electric Vehicles (EVs) which is substantially growing in the automobile sector due to their zero …
To solve this problem, a non-destructive testing method for capacity consistency of lithium-ion battery pack based on 1-D magnetic field scanning is proposed in this article. First, a magnetic field simulation model and measurement setup of lithium-ion battery are developed to study the principle of detection technology. On such basis, a ...
As the global lithium-ion batteries (LIBs) market continues to expand, the necessity for dependable and secure LIBs has reached an all-time high. However, the use of batteries is associated with a number of significant risks, including the potential for thermal runaway and explosions. The meticulous inspection of LIBs is not only essential for …
Effective fault detection algorithms and appropriate sensors fixed around batteries help to detect battery faults in advance and alert the user to avoid catastrophic failure in EVs are discussed.
Here, an in situ and nondestructive technology is proposed for this purpose, by imaging the magnetic field of the battery pack during its operation, the minor current imbalance within the pack can be identified without strong interference of the magnetic susceptibility due to state of charge change, and the corresponding location can also be ...
With the proliferation of Li-ion batteries in smart phones, safety is the main concern and an on-line detection of battery faults is much wanting. Internal short circuit is a very critical issue ...
This study investigates a novel fault diagnosis and abnormality detection method for battery packs of electric scooters based on statistical distribution of operation data that are stored in...
To tackle the issues described above, this work focuses on three LiB pack …
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