In this paper is proposed an automatic gas detection system with catalytic type sensors and reconstruction approach for precise gas emission source location inside battery pack. Detection system employs a distributed array of CO sensors. Several array configurations are considered according to their measurement efficiency. Reconstruction
Customer ServiceRemoving or reducing the hazards from Li-ion batteries while preferable, requires fundamental changes to the battery chemistry. Another way to address this is the
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Customer ServiceIn this paper, a statistical analysis-based multi-fault diagnosis method is proposed to detect and localize short circuit faults, electrical connection faults and voltage
Customer ServiceLithium-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
Customer ServiceWith the sharp growth of electric vehicles, many OEMs are using a water cooling system for the EV battery system. When water escapes the system and leaks into the battery pack, dangerous conditions are created. Amphenol Advanced
Customer ServiceLithium-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
Customer ServiceLithium-ion battery packs are widely deployed as power sources in transportation electrification solutions. To ensure safe and reliable operation of battery packs,
Customer ServiceRemoving or reducing the hazards from Li-ion batteries while preferable, requires fundamental changes to the battery chemistry. Another way to address this is the implementation of fault diagnostics and prognostics for forecasting or detecting the presence of faults before an aircraft is airborne.
Customer ServiceISCr detection method for battery pack based on equivalent parameter and consistency method was proposed by the authors'' research team (6). The method can quickly find the early stage ISCr in series circuits by both the nominal parameter change and the true 10.1149/07711.0217ecst ©The Electrochemical Society ECS Transactions, 77 (11) 217-223 (2017) 217. parameter
Customer ServiceLa fixation de la batterie MagSafe est un jeu d''enfant. Son design compact et intuitif facilite la recharge en déplacement. Les aimants parfaitement alignés le maintiennent attaché à votre iPhone 12 et iPhone 12 Pro ou iPhone 13 et
Customer ServiceThe early detection and tracing of anomalous operations in battery packs are critical to improving performance and ensuring safety. This paper presents a data-driven approach for online anomaly detection in battery packs that uses real-time voltage and temperature data from multiple Li-ion battery cells. Mean-based residuals are generated for
Customer ServiceIn this paper we propose a gas detection system, with catalytic type sensor array, and a numerical reconstruction method for precise gas emission source location inside the battery pack. The detection system
Customer ServiceIn this paper, a statistical analysis-based multi-fault diagnosis method is proposed to detect and localize short circuit faults, electrical connection faults and voltage sensor faults in LFP battery packs.
Customer ServicePower battery packs are subjected to severe temperature, humidity, vibration, shock, corrosive gases and liquids as well as the reduced insulation performance.
Customer ServiceVoltage fault detection for lithium-ion battery pack using local outlier factor. Measurement, 146 (2019), pp. 544-556. View PDF View article View in Scopus Google Scholar [26] B. Xia, C. Mi. A fault-tolerant voltage measurement method for series connected battery packs. J Power Sources, 308 (2016), pp. 83-96. View PDF View article View in Scopus
Customer ServiceZhang and Pan et al. [23, 24] established a ring symmetrical circuit topology in a parallel battery pack for ISC detection. However, due to multiammeters being used in the topology structure, the
Customer ServiceA low-redundancy battery pack diagnosis method is proposed to address the data redundancy issue in electric vehicle battery pack fault detection of ISC and VC. The fault diagnosis
Customer ServiceThis study investigates a novel fault diagnosis and abnormality detection method for battery packs of elec. scooters based on statistical distribution of operation data that are stored in the cloud monitoring platform. According to the battery current and scooter speed, the operation states of elec. scooters are clarified, and the diagnosis
Customer ServiceIt also provided a fault detection scheme for a single battery cell to detect the current or voltage sensor fault with extended Kalman filter, but with the difficulty of achieving the fault isolation. However, the topic of sensors FDI for a battery pack has not been addressed in the literature. Among the existing model based FDI schemes, Kalman filter (KF) as a well-known
Customer ServiceFaulty Parallel Cell Module in a battery pack is detected and isolated. Multiple sensor and parametric faults in the faulty PCM are detected and isolated. Fault isolation logic is derived by extracting features from residual analysis. Diagnostic results are obtained in terms of a probability value using Bayesian learning.
Customer ServiceThe proposed automatic gas detection system is optimized for a battery pack module like that shown in Figure 1. The battery pack module is assembled by 30-ty 18650 Lithium-Ion Cells, with standard capacity (C) of 2600 mAh at nominal voltage 3.7 V . The single battery cell is a cylinder with outer diameter of 18.6 mm by 65.2 mm length. The
Customer ServiceIn this paper is proposed an automatic gas detection system with catalytic type sensors and reconstruction approach for precise gas emission source location inside battery pack.
Customer ServiceThis study investigates a novel fault diagnosis and abnormality detection method for battery packs of elec. scooters based on statistical distribution of operation data that are stored in the cloud monitoring platform.
Customer ServiceFaulty Parallel Cell Module in a battery pack is detected and isolated. Multiple sensor and parametric faults in the faulty PCM are detected and isolated. Fault isolation logic
Customer ServiceThe early detection and tracing of anomalous operations in battery packs are critical to improving performance and ensuring safety. This paper presents a data-driven approach for online anomaly detection in battery packs that uses real
Customer ServiceIn this paper we propose a gas detection system, with catalytic type sensor array, and a numerical reconstruction method for precise gas emission source location inside the battery pack. The detection system employs a distributed array of CO sensors.
Customer ServiceThe inhomogeneity between cells is the main cause of failure and thermal runaway in Lithium-ion battery packs. Electrochemical Impedance Spectroscopy (EIS) is a non-destructive testing technique that can map the complex reaction processes inside the battery. It can detect and characterise battery anomalies and inconsistencies. This study proposes a
Customer ServiceA low-redundancy battery pack diagnosis method is proposed to address the data redundancy issue in electric vehicle battery pack fault detection of ISC and VC. The fault diagnosis efficiency can be improved dramatically if the fault diagnosis process is executed only in abnormal cells. Via extracting a novel extreme voltage sequences, a low
Customer ServiceAs discussed above, the faults diagnosis and abnormality of battery pack can be detected in real time. In addition, timely detection and positioning of faults and defects of cells can improve the health and safety of the whole battery pack.
The early detection and tracing of anomalous operations in battery packs are critical to improving performance and ensuring safety. This paper presents a data-driven approach for online anomaly detection in battery packs that uses real-time voltage and temperature data from multiple Li-ion battery cells.
And adaptive thresholds are set for the detection and localization of faulty cells. To the best of our knowledge, the discrete Fréchet algorithm is presented for the first time in the field of faulty detection of battery packs. The remainder of this paper is organized as follows.
However, the proposed methods in these works [, , , ] are mainly based on the voltage data of a single cell in battery packs, and they cannot accurately diagnose faults and anomalies incurred by variation of other parameters, such as current, temperature and even power demand.
By applying the designed coefficient, the systematic faults of battery pack and possible abnormal state can be timely diagnosed. 2) The t-SNE technique, The K-means clustering and Z-score methods are exploited to detect and accurately locate the abnormal cell voltage.
Furthermore, sensor anomalies can lead to inaccurate control actions by the battery management system (BMS). Thus, it becomes critical to have an early and quick detection method followed by appropriate actions to avoid fault propagation, ensuring the safe and reliable operation of LiB packs.
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