Offline fault detection method for electromobile

A fault detection, electric vehicle technology, applied in the direction of vehicle testing, measuring electricity, measuring devices, etc., can solve the problems of low integration, low level of intelligence, low detection efficiency, etc., to improve safety, reliability, and work. Efficiency and the effect of improving the pass rate

Inactive Publication Date: 2013-06-12
BEIJING RUIRI CHEXIN SCI & TECH
View PDF5 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, in the prior art, the fault detection and diagnosis of the cab assembly mainly adopts manual detection, which has a low level of intelligence, low integration, and low detection efficiency.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Offline fault detection method for electromobile
  • Offline fault detection method for electromobile
  • Offline fault detection method for electromobile

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0016] The present invention will be described in detail below in conjunction with the accompanying drawings and embodiments.

[0017] Such as figure 1 , figure 2 As shown, the electric vehicle off-line fault detection system adopted in the present invention includes a host computer 1 and a lower computer composed of a switch board 2, a power supply board 3, a load board 4 and an analog board 5, a switch board 2, a power supply The board 3, the load board 4 and the analog board 5 are all connected together through the CAN bus, and are connected with the upper computer 1 to form a communication network. The whole system adopts LabVIEW as the upper computer interface, and the internal communication network of the system adopts CAN network communication. in,

[0018] The upper computer 1 has user management functions, user authority classification and database storage functions, and all user information and fault information are stored in the database of the upper computer 1 ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention relates to an offline fault detection method for an electromobile. The method comprises the following steps of: 1) setting an offline fault detection system for the electromobile comprising an upper computer and a low computer consisting of a switch board card, a power supply board card, a load board card and a simulation board card; 2) connecting a diagnosis interface with a bundle interface in a driver's cab part or a chassis part, wherein the simulation driver's cab part or the simulation chassis part consists of the switch board card, the power supply board card, the load board card and the simulation board card; 3) outputting 24V voltage by the power supply board card to the simulation chassis consisting of the switch board card, the load board card and the simulation board card to supply power; 4) transmitting the detection signals of the driver's cab part to an MCU (Microprogrammed Control Unit) signal collecting terminal in the upper computer through a CAN (Controller Area Network) bus, and converting the received processing information to a control command to the board cards after receiving the processing information by the MCU; and 5) sending the control command to the board cards through the CAN bus by the upper computer and returning the detection signal to the upper computer by each board card, comparing with variables stored in the detected driver's cab part and judging whether faults occur or not to detect the driver's cab part.

Description

technical field [0001] The invention relates to a vehicle fault detection method, in particular to an electric vehicle offline fault detection method in the field of electric vehicle offline fault diagnosis. Background technique [0002] With the rapid development and wide application of information technology and network technology, as well as the wide application in vehicles, the process of intelligence, networking, informatization and integration of vehicles is accelerating, and vehicles will be upgraded from a traditional mechanical product to a high-tech Technology mobile multimedia platforms, vehicle devices tend to use computers as a platform to integrate vehicle communication, navigation, audio-visual entertainment, network control, etc. into an integrated multimedia information system. In complex vehicle information analysis, the most important thing is to ensure the safety of the vehicle. If a certain part of the car breaks down and fails to find and eliminate it ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G01M17/007G01R31/02
Inventor 祝丽南金香南金钟阎在春
Owner BEIJING RUIRI CHEXIN SCI & TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap