A novel insulation resistance monitoring device for Hybrid Electric Vehicle

This paper focuses on the hardware aspects of battery management systems (BMS) for electric vehicle and stationary applications. The purpose is giving an overview on existing concepts in state-of-the-art systems and enabling the reader to estimate what has to be considered when designing a BMS for a given application. After a short analysis of general requirements, several possible topologies for battery packs and their consequences for the BMS' complexity are examined. Four battery packs that were taken from commercially available electric vehicles are shown as examples. Later, implementation aspects regarding measurement of needed physical variables (voltage, current, temperature, etc.) are discussed, as well as balancing issues and strategies. Finally, safety considerations and reliability aspects are investigated.

show abstract

“…Ref. [79] presents a quite simple solution that uses only one switch. However, it is not able to detect symmetric insulation resistance errors.…”

Section: Insulation Measurementmentioning

confidence: 99%

Battery Management System Hardware Concepts: An Overview

et al. 2018

View full text Add to dashboard Cite

show abstract

“…Therefore, the real-time monitoring of electric vehicle highvoltage insulation performance changes and responding to the changes in the insulation resistance, represent important guarantees for the safe operation of electric vehicles. Because it is difficult to directly measure the high-voltage insulation of electric vehicles online, researchers have invented a variety of methods to detect the high-voltage insulation resistance [21]- [24], but most of them face problems such as a slow response time, insufficient estimation accuracy, and poor reliability. Therefore, it is necessary to study a new insulation resistance detection method with a rapid response, high estimation accuracy and high reliability.…”

Section: Introductionmentioning

confidence: 99%

A New Method of Insulation Detection on Electric Vehicles Based on a Variable Forgetting Factor Recursive Least Squares Algorithm

Chen

Cui

et al. 2021

IEEE Access

View full text Add to dashboard Cite

The lithium-ion batteries of an electric vehicle belong to a high-voltage direct-current system. The high-voltage insulation performance of electric vehicles is very important for their safe operation. To solve the problems of slow response and the poor estimation accuracy of the insulation resistance under complex vehicle working conditions, a real-time insulation resistance detection method based on the variable forgetting factor least squares algorithm is proposed in this paper. Based on the low-frequency signal injection method and considering the influence of the Y capacitor, the corresponding circuit model and the mathematical model of the reflected wave voltage are established, and the mathematical model is linearized by a first-order Taylor expansion. By analyzing the influence of the forgetting factor on model parameter identification and setting appropriate shutdown criteria, the least squares algorithm with a variable forgetting factor is designed to quickly and accurately estimate the insulation resistance and Y capacitance. The experimental test results show that the proposed method can quickly track the changes in the insulation resistance and Y capacitance under the condition of noise interference and that the root mean square error of the estimation resistor is within 0.012. INDEX TERMS electric vehicle (EV), embedded micro-control unit, insulation detection, lithium-ion batteries, variable forgetting factor recursive least squares (VFFRLS)

show abstract

Adaptive control for estimating insulation resistance of high‐voltage battery system in electric vehicles

Chiang¹,

Sean

Huang

et al. 2017

Env Prog and Sustain Energy

View full text Add to dashboard Cite

To ensure electrical safety in electric vehicles equipped with a high‐voltage battery pack, an insulation monitoring circuit is indispensible to continuously monitor the insulation resistance during charging or driving. Existing methods such as to inject specific signals into the monitoring circuit and earth help to extract the resistance value from the voltage waveform. However, parasitic or stray capacitances in the monitoring circuit, which might introduce higher‐order dynamics into the waveform are ignored. Or to avoid estimation error, the insulation resistance must be known in advance to carry out parameter calibration. In this work, one parasitic capacitance is applied in the circuit model and employ a new adaptive algorithm based on Lyapunov stability to estimate the insulation resistance. This new online monitoring method and circuit are verified through simulation and experimentation, respectively. The results demonstrate that the proposed method can quickly react and track variations of insulation resistance on both positive and negative DC lines. © 2017 American Institute of Chemical Engineers Environ Prog, 36: 1882–1887, 2017

show abstract

A novel insulation resistance monitoring device for Hybrid Electric Vehicle

Cited by 6 publications

References 3 publications

Battery Management System Hardware Concepts: An Overview

Battery Management System Hardware Concepts: An Overview

A New Method of Insulation Detection on Electric Vehicles Based on a Variable Forgetting Factor Recursive Least Squares Algorithm

Adaptive control for estimating insulation resistance of high‐voltage battery system in electric vehicles

Contact Info

Product

Resources

About