An optimization method, device, system and storage medium for fault diagnosis

Abstract

The embodiment of the invention relates to fault detection in battery management, and discloses an optimization method and device for fault diagnosis, a battery management system, and a storage medium. The optimization method of the fault diagnosis is applied to the BMS of the battery management system, including: obtaining detection data; determining that the battery management system is in a failure state according to the detection data; obtaining failure monitoring data in the failure state, and judging whether the fault actually occurs according to the failure monitoring data , and obtain a judgment result; update the numerical value of the fault statistical parameter according to the judgment result; optimize the fault diagnosis strategy according to the numerical value of the fault statistical parameter. In the present invention, the detection data is obtained when a failure occurs, so that the fault detection is more accurate and the fault diagnosis is optimized.

Description

technical field [0001] Embodiments of the present invention relate to fault detection in battery management, and in particular to a fault diagnosis optimization method, device, system and storage medium. Background technique [0002] In new energy vehicles, BMS (Battery Management System, battery management system) is an important link connecting vehicle-mounted power batteries and electric vehicles. Its main functions include: real-time monitoring of battery physical parameters; battery state estimation; online diagnosis and early warning; charging and discharging and precharge control; equalization management and thermal management, etc. In the vehicle system, BMS is used to intelligently manage and maintain each battery unit, prevent the battery from overcharging and overdischarging, prolong the service life of the battery, and monitor the state of the battery. [0003] For BMS or vehicle system, fault diagnosis is a very important part. BMS is not only closely related t...

AI Technical Summary

Problems solved by technology

[0004] However, the inventors have found that there are at least the following problems in the prior art: failure analysis at the design stage requires the designer to be fully familiar with the overall product including components, because the overall product may have different performances under different failure modes, which is very difficult for developers. higher requirements; the verification test depends on the tester's understanding of the vehicle's working conditions and the coverage of the test cases

At present, even in mass-produced vehicles, there are still some false alarms or missed reports due to unreasonable parameter settings. Perform secondary analysis, this processing method obviously lags in time, and misses the best opportunity to collect fault information

Images