Energy-storage technologies based on lithium-ion batteries are advancing rapidly. However, the occurrence of thermal runaway in batteries under extreme operating conditions poses serious safety concerns and potentially leads to severe accidents. To address the detection and early warning of battery thermal runaway faults, this study conducted a comprehensive review of …
Yet the faults of batteries are coupled with each other, and the actual faults usually are the simultaneous occurrence of multiple faults, so the combination of information fusion technology and battery system fault diagnosis is the future tendency. The advantages and disadvantages of data-driven fault diagnosis methods are compared in Table 7.
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. At present, model-based fault diagnosis methods are still the hot spot of research.
The mathematical model cannot be determined in the battery system fault diagnosis, or the model cannot accurately describe the battery state. A large amount of monitor and sensor data can be conducted to diagnose the fault by using data-driven methods .
Fig. 14 shows the progression of battery faults, including the early development (fault precursor), fault occurrence (fault features), and further deterioration leading to disasters. Current research focuses on pre-warning by studying precursors and diagnosing faults through feature extraction.
In addition, Zhou et al. also performed real-time fault diagnosis for battery open faults based on a dual-expansion Kalman filtering method, which uses only the current of the battery pack and the terminal voltages of the parallel battery modules in addition to other sensor data .
Table 1. Faults performance of the battery system and interrelationships. Mechanical deformation, Over-charge/Over-discharge fault, induction of active materials, thermal fault. It is often accompanied by discharge and exothermic, and the main fault activates BTR. Connection fault, mechanical deformation, aging fault, water immersion.
Energy-storage technologies based on lithium-ion batteries are advancing rapidly. However, the occurrence of thermal runaway in batteries under extreme operating conditions poses serious safety concerns and potentially leads to severe accidents. To address the detection and early warning of battery thermal runaway faults, this study conducted a comprehensive review of …
3. Innovation in Fault Maintenance of New Energy Vehicles . 3.1. Battery failure repair . The battery is in a state of low power, which can easily lead to sulfation of the battery, affecting the …
Therefore, the fault diagnosis model based on WOA-LSTM algorithm proposed in the study can improve the safety of the power battery of new energy battery vehicles and …
This research examines various failure modes and their effects, investigates the causes behind them, and quantifies the associated risks. The failure modes and effect …
Therefore, this paper proposes a power battery abnormal monomer identification and early warning method by combining isolated forest (IF) algorithm with sliding …
With the rapid growth in new energy vehicle industry, more and more new energy vehicle battery packs catch fire or even explode due to the internal short circuit. Comparing with traditional ...
The battery system, as the core energy storage device of new energy vehicles, faces increasing safety issues and threats. An accurate and robust fault diagnosis technique is crucial to guarantee the safe, reliable, and robust operation of lithium-ion batteries. However, in battery systems, various faults are difficult to diagnose and isolate due to their similar features …
From the perspectives of internal faults and external faults, the research status and latest progress of three types of fault diagnosis methods are summarized including knowledge-based, model-...
According to statistics, 60% of fire accidents in new energy vehicles are caused by power batteries. The development of advanced fault diagnosis technology for power battery …
3. Innovation in Fault Maintenance of New Energy Vehicles . 3.1. Battery failure repair . The battery is in a state of low power, which can easily lead to sulfation of the battery, affecting the adsorption of aluminum sulfate crystals on the battery electrode plate, blocking ion channels,
Taking the leakage detection of byd-qin hybrid high-voltage system as an example, this paper analyzes the fault generation mechanism and puts forward the detection technology of new energy...
However, the failure of lead-acid batteries is also a hot issue that attracts attention. This article starts with the introduction of the internal structure of the battery and the principle of charge and discharge, analyzes the reasons for the repairable and unrepairable failures of lead-acid batteries, and proposes conventional repair methods and desulfurization …
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 packs. Meanwhile, Tran et al. proposed a real-time model-based sensor fault detection and isolation scheme for lithium-ion battery degradation [ 161 ].
In order to fill the gap in the latest Chinese review, the faults of power battery system are classified into internal faults and external faults based on the difference of fault location, and the ...
Failure Causes and Effective Repair Methods of Lead-acid Battery To cite this article: Xiufeng Liu and Tao Teng 2021 IOP Conf. Ser.: Earth Environ. Sci. 859 012083
This enables new energy vehicles to more accurately identify the problem and develop effective solutions in a timely manner during the fault diagnosis process. The research results indicate that in the detection process of fault recognition rate, the recognition rate of DL (Deep Learning) method is much lower than that of the method in this ...
This work mainly discusses the establishment of the battery voltage fault diagnosis mechanism of new energy vehicles using electronic diagnosis technology. Based on electronic diagnosis technology, this work clarified the specific application in automobile battery voltage fault diagnosis to guide the improvement of the diagnostic mechanisms.
This work mainly discusses the establishment of the battery voltage fault diagnosis mechanism of new energy vehicles using electronic diagnosis technology. Based on electronic diagnosis …
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 …
Therefore, the fault diagnosis model based on WOA-LSTM algorithm proposed in the study can improve the safety of the power battery of new energy battery vehicles and reduce the probability of safety accidents during the driving process of new energy vehicles.
Therefore, this paper proposes a power battery abnormal monomer identification and early warning method by combining isolated forest (IF) algorithm with sliding window (SW). To make the model simple and efficient to identify and warn the fault cell, the voltage is selected as the main identification parameter. The proposed method uses a SW to ...
This reduces the amount of energy stored in the battery and minimizes fire risk. Part 5. Conclusion. Repairing a lithium battery instead of buying a new one can be a better choice. It will help to save the high cost of a …
With the great development of new energy vehicles and power batteries, lithium-ion batteries have become predominant due to their advantages. For the battery to run safely, stably, and with high efficiency, the precise and reliable prognosis and diagnosis of possible or already occurred faults is a key factor. Based on lithium-ion batteries'' aging mechanism and …
Taking the leakage detection of byd-qin hybrid high-voltage system as an example, this paper analyzes the fault generation mechanism and puts forward the detection …
BMS is an important accessory of battery pack, it has a lot of functions. It ensures the control of the charging and discharging processes to avoid overcharging or deep discharging, which can greatly improve the cycle life of a battery in everyday applications.
According to statistics, 60% of fire accidents in new energy vehicles are caused by power batteries. The development of advanced fault diagnosis technology for power battery system has...
This enables new energy vehicles to more accurately identify the problem and develop effective solutions in a timely manner during the fault diagnosis process. The research results indicate …
With the increasing popularity of new energy vehicles (NEVs), a large number of automotive batteries are intensively reaching their end-of-life, which brings enormous challenges to environmental protection and sustainable development. This paper establishes a closed-loop supply chain (CLSC) model composed of a power battery manufacturer and a NEV retailer. …
China is at the forefront of the global solar energy market, offering some of the highest quality solar panels available today. With cutting-edge technology, superior craftsmanship, and competitive pricing, Chinese solar panels provide exceptional efficiency, long-lasting performance, and reliability for residential, commercial, and industrial applications. Whether you're looking to reduce energy costs or contribute to a sustainable future, China's solar panels offer an eco-friendly solution that delivers both power and savings.