Abstract
To improve the accuracy of insulation monitoring between the battery pack and chassis of electric vehicles, we established a serial battery pack model composed of first-order resistor-capacitor (RC) circuit battery cells. We then designed a low-voltage, low-frequency insulation monitoring model based on this serial battery pack model. An extended Kalman filter (EKF) was designed for this non-linear system to filter the measured results, thus mitigating the influence of noise. Experimental and simulation results show that the proposed monitoring model and extended Kalman filtering algorithm for insulation resistance monitoring present satisfactory estimation accuracy and robustness.
Highlights
The voltages of storage batteries, fuel cells, and ultra-capacitors for electric vehicles far exceed the safety limit for the human body, with certain battery packs reaching voltages of 600 V
To improve injection method can detect leakage within the battery pack, mismeasurement may occur during injection method can detect leakage within theinbattery pack,study, mismeasurement may occur the accuracy of dynamic insulation monitoring, the present measurement and systemduring noise voltage spikes
We built a 3.2-Ah, 296-V battery pack model composed of 80 battery cells that were connected in series
Summary
The voltages of storage batteries, fuel cells, and ultra-capacitors for electric vehicles far exceed the safety limit for the human body, with certain battery packs reaching voltages of 600 V. The performance of insulating materials, degrades after a certain period Other factors, such as humidity, can decrease the performance of the insulation between a high-voltage system and the chassis ground. The accuracy of non-contact current differential detection [6] for in electric vehicles improvement. The alternating current (AC)-voltage insulation monitoring in electric vehicles requires further improvement. To improve injection method can detect leakage within the battery pack, mismeasurement may occur during injection method can detect leakage within theinbattery pack,study, mismeasurement may occur the accuracy of dynamic insulation monitoring, the present measurement and systemduring noise voltage spikes. To improve the accuracy of dynamic insulation monitoring, in the present study, were considered based on the low-voltage, low-frequency signal injection method, and the insulation measurement and system noise were considered based on the low-voltage, low-frequency signal measurement andbattery system noise considered based themodel, low-voltage,were low-frequency signal monitoring of the waswere modeled.
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