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Abnormity detection method and device based on real-time operation data of new energy vehicle

A new energy vehicle, real-time operation technology, applied in the direction of constraint-based CAD, electric vehicles, transportation and packaging, etc., can solve problems such as the inability to accurately and efficiently realize new energy vehicles, and achieve the effect of short time consumption and high efficiency

Pending Publication Date: 2022-03-22
HUNAN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The technical problem solved by the embodiments of the present invention is the problem that the abnormality detection of new energy vehicles cannot be realized accurately and efficiently

Method used

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  • Abnormity detection method and device based on real-time operation data of new energy vehicle
  • Abnormity detection method and device based on real-time operation data of new energy vehicle
  • Abnormity detection method and device based on real-time operation data of new energy vehicle

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Effect test

Embodiment 1

[0157] At present, based on the real-time operation data of the new energy vehicle power battery system (collected in accordance with the requirements of GB / T 32960-2016), the research on the fault diagnosis algorithm for the operation safety of the new energy vehicle power battery system is still in its infancy, and there is a lack of systematic research results. This application is based on the actual situation of new energy vehicle BMS calculation space and time constraints, aiming at the trade-off between the accuracy and complexity of BMS fault modeling, the trade-off between the effectiveness of BMS fault diagnosis and the completeness of historical data , BMS fault diagnosis real-time and trade-off between the availability of resources and other practical engineering issues, the technical solution of this project is the following four points:

[0158] 1) By sorting out the failure mechanism of internal and external faults of the power battery, the precise modeling resea...

Embodiment 2

[0163] An anomaly detection method based on real-time operation data of new energy vehicles, such as image 3 As shown, in the case of no historical data, in order to make the selected training data T valid, it must be updated. The purpose of updating is to make the training data T contain all the dynamic changes of each monitoring parameter under normal operating conditions, especially including its normal degradation state. However, updating without historical data is different from updating with historical data. According to the actual engineering application, this project proposes two update methods:

[0164] Unquantified update:

[0165] According to the result of real-time detection, the time state of each detection result is healthy state is added to the training data T. This update method is called indeterminate update.

[0166] Quantitative update:

[0167] In the form of a floating window, only the data in the time state detected as a healthy state in the floatin...

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Abstract

The embodiment of the invention provides an anomaly detection method and device based on real-time operation data of a new energy automobile, and the method comprises the following steps: according to the requirements of GB / T 32960, carrying out the real-time operation data of a power battery system of the new energy automobile and the historical health data of a small sample; the monitoring parameter data of the power battery system is combined with the multivariate state estimation technology to obtain an anomaly detection model and the residual error of each monitoring parameter in the anomaly detection model, and the residual error comprises a healthy residual error and an actual residual error; and performing sequential probability ratio test on the residual error, and obtaining an anomaly detection result of the new energy automobile power battery system based on an index of the sequential probability ratio test. The abnormal state of the power battery system during degradation can be accurately detected. The training process is high in efficiency and short in time consumption.

Description

technical field [0001] The invention relates to the technical field of abnormality detection of power batteries of new energy vehicles, in particular to an abnormality detection method and device based on real-time operation data of new energy vehicles. Background technique [0002] The operation safety of new energy vehicle power batteries has always been one of the core issues plaguing the development of new energy vehicles. The simple safety measures (sensor monitoring, contactor, insulation layer, voltage, current and temperature limit operation) added in the traditional BMS for the safety of the power battery, with the increasing intelligence and integration of new energy vehicles, and the increasing mileage requirements The higher it is, the protection of the power battery is not enough, and the hardware and software implementation of BMS is becoming more and more difficult. As a strong support for BMS, the fault diagnosis algorithm is mainly responsible for effective...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/20B60L58/10G06F111/04G06F111/08G06F119/02
CPCG06F30/20B60L58/10G06F2119/02G06F2111/08G06F2111/04Y02T10/70
Inventor 彭坚陈鋆纯王雪鹏刘祎鸣方艳平
Owner HUNAN UNIV
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