Design of a High-Voltage Insulation Resistance Detection System for Commercial Vehicles

Based on the safety monitoring requirements of power batteries for new energy commercial vehicles, this study proposes a battery insulation detection method utilizing the bridge method in combination with existing insulation detection techniques. Through optimization and improvement of this methodology, an insulation detection system for new energy commercial vehicle power batteries was developed, along with a dynamic online calculation method for insulation resistance. Comprehensive experimental testing under multiple operational conditions demonstrates that the proposed system achieves a measurement accuracy with errors below 5% for insulation resistance. Furthermore, the system exhibits significant advantages in dynamic real-time monitoring capabilities and operational reliability.

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Publication Details

Journal
Batteries
Published
2025-04-07
DOI
https://doi.org/10.3390/batteries11040143
Citations
2
Primary Topic
Advanced Battery Technologies Research
Type
article
Field-Weighted Citation Impact
1.37
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article

Design of a High-Voltage Insulation Resistance Detection System for Commercial Vehicles

Daixi She, Xinfeng Zhang, Feng Guo, Yue Han
2 citations
Batteries
Advanced Battery Technologies Research
1.37
article

Design of a High-Voltage Insulation Resistance Detection System for Commercial Vehicles

Daixi She, Xinfeng Zhang, Feng Guo, Yue Han
article en
2 citations

Abstract

Based on the safety monitoring requirements of power batteries for new energy commercial vehicles, this study proposes a battery insulation detection method utilizing the bridge method in combination with existing insulation detection techniques. Through optimization and improvement of this methodology, an insulation detection system for new energy commercial vehicle power batteries was developed, along with a dynamic online calculation method for insulation resistance. Comprehensive experimental testing under multiple operational conditions demonstrates that the proposed system achieves a measurement accuracy with errors below 5% for insulation resistance. Furthermore, the system exhibits significant advantages in dynamic real-time monitoring capabilities and operational reliability.

BatteriesVol. 11(4)
Jilian Technology Group (China) (CN), Hangzhou City University
Openalex Percentile: Top 20%
Advanced Battery Technologies Research
1.37
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