Safety warning method of electric vehicle power battery

A power battery, safety warning technology, applied in electric vehicles, battery/fuel cell control devices, measuring electricity, etc., can solve problems such as difficulty in determining, complex penalty factor and loss function, and comprehensive evaluation of battery safety, and achieve reliable performance. Evaluate the effect of results

Active Publication Date: 2019-08-16
SHANGHAI RICHPOWER MICROELECTRONICS
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  • Abstract
  • Description
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Problems solved by technology

[0006] SVM itself has some shortcomings: the number of support vectors is sensitive to the error boundary, the penalty factor and loss function are complex and difficult to determine; t

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  • Safety warning method of electric vehicle power battery
  • Safety warning method of electric vehicle power battery
  • Safety warning method of electric vehicle power battery

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Embodiment Construction

[0052] In the following description, for purposes of explanation, specific details are set forth in order to provide an understanding of the present invention. It will be apparent, however, to one skilled in the art that the present invention may be practiced without these details. Furthermore, those skilled in the art will appreciate that the embodiments of the present invention described below can be implemented in various ways (eg, process, apparatus, system, device or method) on non-transitory computer readable media.

[0053] Components or modules shown in the figures are illustrative of embodiments of the invention and are intended to avoid obscuring the invention. It should also be understood that throughout this discussion, components may be described as separate functional units (which may include subunits), but those skilled in the art will recognize that various components, or portions thereof, may be divided into separate components, or may be Integrate together (in...

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Abstract

The invention discloses a safety warning method of an electric vehicle power battery, which comprehensively evaluates the safety of the battery from two perspectives of battery performance degradationand possible failures, and gives a safety rating. In the evaluation of battery performance degradation, a degradation model prediction method based on particle filter is adopted, the remaining life of the current battery is predicted through estimating the model parameters, and a degradation index of the battery is given combined with the health status of the battery; and a method based on the BPneural network is used, and the history and real-time data of the battery BMS system are used as inputs, so as to extract the states associated with various critical faults and predict the possibility of various faults. After the two aspects of the safety assessment results are combined, comprehensive safety warning information is given. Compared with the current method of evaluating the safety of the battery only from the perspective of the remaining life or the health state, a more reliable evaluation result can be given.

Description

Technical field [0001] This application belongs to the technical field of new energy vehicles, and in particular relates to a safety warning method for electric vehicle power batteries. Background technique [0002] As the number of new energy vehicles continues to grow, the demand for power batteries has also increased. Lithium-ion battery systems have become an integral component of electric vehicles and distributed microgrid energy storage systems. Although the manufacturing technology and packaging level of batteries continue to improve, along with the uncertain factors of power battery manufacturing technology level and vehicle operating conditions, power battery voltage will inevitably be too high or too low, and the current will be too large or too small during operation. , the temperature is too high or too low, harsh operating environment, aging, abuse, etc. during use, which may lead to related failures. Undetected battery failure can adversely affect the battery...

Claims

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Application Information

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IPC IPC(8): G01R31/367G01R31/392B60L58/10
CPCG01R31/367G01R31/392B60L58/10Y02T10/70
Inventor 逄龙韩竞科
Owner SHANGHAI RICHPOWER MICROELECTRONICS
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