Simulation-based analysis of short circuit fault in parallel-series type hybrid electric vehicle

Sefik, Ibrahim; Asfani, Dimas Anton; Hiyama, Takashi

doi:10.1109/apap.2011.6180687

Cited by 4 publications

(1 citation statement)

References 2 publications

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“…Using the results of the forensic examination, the model includes of multiple domains that improve powertrain efficiency and reduce emissions for a diesel engine and an electrical motor. This article examines the effect of short circuits on the efficacy of HEVs [1]. Concerns regarding electric vehicle (EV) safety are frequently associated with various power battery pack defects.…”

Section: Introductionmentioning

confidence: 99%

A Thermal Image based Fault Detection in Electric Vehicle Battery Cells Utilizing CNN U-Net Model

Senthilraj

2023

IJRITCC

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It entails the formation of thermal images from battery cells under different conditions, capturing crucial thermal patterns such as hotspots, insulation degradation, and overheating. For robust model training, data preprocessing and augmentation techniques are applied. The U-Net model, known for its expertise in semantic segmentation tasks, is applied to evaluate thermal images and to detect fault-related features. The results demonstrate the U-Net's unique precision, sensitivity, and specificity in detecting thermal anomalies. This research adds to the improvement of the safety and dependability of EV battery systems, with applications in the electric mobility and automotive industries.

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Section: Introductionmentioning

confidence: 99%