Research on insulation resistance on-line monitoring for electric vehicle

Li, Jingxin; Wu, Zhiqiang; Yan-qiang, Fan; Wang, Yunyan; Jiang, Jiuchun

doi:10.1109/icems.2005.202650

Cited by 6 publications

(7 citation statements)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…After conducting a thorough literature review [18][19][20][21][22][23][24][25], we created four distinct conditions based on battery terminal voltage and resistance and analyzed the errors in the detection system, the accuracy, and the response. In the literature, insulation resistance theory is used to identify the battery's insulation, which functions as high resistance between the vehicle power battery and the chassis to prevent current from contacting the chassis [28][29][30][31][32].…”

Section: Contribution Of This Studymentioning

confidence: 99%

“…Monitoring the IR between the positive and negative power batteries and the vehicle's chassis is required for continuous evaluation of the insulation performance of EVs. The IR of an EV is defined as if there is a short circuit between the power BP of the vehicle and the ground (the chassis of the vehicle), and the resistance corresponds to the maximum leakage current [21][22][23]. Currently, there are many methods for offline and online sensing of the IR of the vehicle power battery, such as direct measurement methods, bridge measurement methods, and signal injection methods.…”

Section: Introductionmentioning

confidence: 99%

“…This shows a way to find insulation by sending a squarewave voltage signal and using the Lyapunov observer to estimate the insulating resistance. References [21,[32][33][34] propose a filtering algorithm as an insulation detection strategy to enhance the system's capability to handle noise. We examined the unscented Kalman filter (UKF) and the extended Kalman filter (EKF) [26] to estimate the IR using the voltage injection model.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

FPGA-Based VFF-RLS Algorithm for Battery Insulation Detection in Electric Vehicles

Bukya,

Padma,

Kumar

et al. 2024

WEVJ

View full text Add to dashboard Cite

As the adoption of electric vehicles (EVs) continues to rise, attention has switched to ensuring the safety of EV operations. The exponential growth in battery technology over the past several years has changed the face of energy storage and sparked a revolution in several industries. The degradation of battery insulation during regular use is a significant concern. The high voltage (HV) and current levels in HV electric vehicles pose a significant electrical threat.The advancement of electric vehicle technology has led to an increasing presence of HV electric equipment throughout the vehicle. The insulation strength and early health status detection of the batteries are essential in ensuring safety in EVs. This paper studies the different insulation detection techniques and the development of adaptive filter (AF) algorithms based on field-programmable gate arrays (FPGAs) for insulation detection. FPGAs are amongst the most accurate and fast detection techniques among all the insulation detection techniques used so far in electric vehicles. This study proposes an FPGA-based VFF-RLS algorithm for effectively implementing insulation detection in EVs. The experimental test results using FPGAs demonstrate that the proposed method can rapidly monitor changes in insulation resistance (IR). The VFFRLS-based FPGA technique works sufficiently well to reduce errors when dealing with variations in voltage and resistance conditions at the battery terminals.

show abstract

Section: Contribution Of This Studymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

FPGA-Based VFF-RLS Algorithm for Battery Insulation Detection in Electric Vehicles

Bukya,

Padma,

Kumar

et al. 2024

WEVJ

View full text Add to dashboard Cite

show abstract

“…The operating principle of insulation resistance measurement is illustrated in Fig.1. The resistors 5 R , 6 R and R in Fig. 1 are predefined reference resistors.…”

Section: Principle Of Insulation Detectionmentioning

confidence: 99%

A novel insulation resistance monitoring device for Hybrid Electric Vehicle

Wang²

2008

2008 IEEE Vehicle Power and Propulsion Conference

View full text Add to dashboard Cite

A new type insulation resistance on-line monitor has been designed for Hybrid Electric Vehicle (HEV). It is mainly composed of a proportional circuit and data sampling, processing module. The device detects insulation resistance by sampling DC bus voltage and voltage between positive line and chassis. The voltages sample is controlled by Electronically Controlled Unit (ECU). These voltages are isolated by opto-coupler Isolation amplifier and transmitted to ECU. The value of insulation resistance is calculated in ECU. The hardware circuit, software realization and insulation resistance calculation formula have been given. The device has been tested in laboratory, test results show the device can accurately and instantaneously detect all kinds of insulation condition, and give an alarm when the insulation is destroyed. The device do not need voltage and (or) current sensor, and use a high voltage switch to control sampling. So it reduces the cost and is convenient for engineering realization. Keywords-Hybrid Electric Vehicle； insulation monitor；sensor-less； real-time detect ；

show abstract

“…The accuracy of non-contact current differential detection [6] for insulation monitoring in electric vehicles requires further improvement. Although the alternating current (AC)-voltage signal injection method [7] mitigates the interference of electromagnetic signals of a vehicle to the monitoring circuit, the frequent injection of high-voltage signals affects the safe operation of battery packs. In addition, although the proposed low-voltage, low-frequency signal injection method can detect leakage within the battery pack, mismeasurement may occur during voltage spikes.…”

Section: Introductionmentioning

confidence: 99%

Insulation Resistance Monitoring Algorithm for Battery Pack in Electric Vehicle Based on Extended Kalman Filtering

et al. 2017

View full text Add to dashboard Cite

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.

show abstract

Research on insulation resistance on-line monitoring for electric vehicle

Cited by 6 publications

References 1 publication

FPGA-Based VFF-RLS Algorithm for Battery Insulation Detection in Electric Vehicles

FPGA-Based VFF-RLS Algorithm for Battery Insulation Detection in Electric Vehicles

A novel insulation resistance monitoring device for Hybrid Electric Vehicle

Insulation Resistance Monitoring Algorithm for Battery Pack in Electric Vehicle Based on Extended Kalman Filtering

Contact Info

Product

Resources

About