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Whole electric automobile diagnosis method

A diagnostic method and electric vehicle technology, applied in electrical testing/monitoring, instrumentation, control/regulation systems, etc., can solve the problems of inability to realize remote diagnosis, slow diagnosis mode efficiency, and high cost of diagnostic instruments, and achieve remote diagnosis and large-scale Effects of data analysis, software development cost saving, and equipment cost saving

Inactive Publication Date: 2020-07-31
JIANGLING MOTORS
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  • Claims
  • Application Information

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Problems solved by technology

However, the diagnostic mode of the traditional diagnostic instrument is not only slow in efficiency, but also has great limitations, such as the inability to realize remote diagnosis, the high cost of developing a diagnostic instrument, the need to develop a diagnostic instrument for each project and the long development cycle, etc. Therefore, it is urgent to develop a A new diagnostic strategy and mode that is more efficient, more practical, and adapts to the needs of the times, and can replace the diagnostic instrument

Method used

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  • Whole electric automobile diagnosis method

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Embodiment 1

[0018] use as figure 1 The process of vehicle diagnosis for electric vehicles

[0019] First, analyze the ECU failure mode of the module and define the DTC fault code.

[0020] Second, compile the DTC mapping table, and set the DTC mapping table corresponding to different DTC fault codes, such as figure 2 .

[0021] The 3rd, define test frame, present embodiment defines test frame as 0x356 such as image 3 , allocate a byte (8 bits) in the data field of the test frame 0x356, and convert a byte to 255 in decimal, that is, this byte can describe the fault code DTC (including 0) of 256 serial numbers; in the test frame 0x356 7 bits are assigned to the data field of the test frame, which is displayed as the total number of faults; 3 bits are assigned to the data field of the test frame 0x356, which is displayed as the fault level.

[0022] Fourth, the module ECU checks its own module faults by itself, and sends the fault code serial number rollingly through the test frame, an...

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Abstract

The invention belongs to the technical field of automobiles, and particularly relates to a whole electric automobile diagnosis method. Module faults are checked through an ECU, the fault code sequencenumber is sent in a rolling manner through a predefined test frame, the test frame content is received through a TBOX, the test frame content is uploaded to a cloud platform, and remote diagnosis andbig data analysis are carried out. The method provided by the invention can replace a diagnostic apparatus, saves the cost of purchasing diagnostic apparatus equipment, saves the software developmentcost of the diagnostic apparatus, saves the product development period and cost, realizes remote diagnosis and big data analysis, and greatly improves the product quality.

Description

technical field [0001] The invention belongs to the technical field of automobiles, and in particular relates to a diagnostic method for a complete electric vehicle. Background technique [0002] With the continuous advancement of automobile intelligence, electrification, and interconnection, automobiles have undergone profound changes, and the proportion of automotive electronic components is increasing, and the complexity is also increasing. This is a huge problem for vehicle diagnosis and fault location. The current mainstream vehicle diagnosis mode is to diagnose vehicle faults through the diagnostic instrument. The traditional diagnostic strategy and mode is to develop diagnostic software for the diagnostic instrument and the vehicle ECU module in accordance with the ISO14229 UDS protocol; The fault diagnosis of the vehicle can only be realized by specially developing special diagnostic software; purchase the diagnostic instrument equipment, operate the actual vehicle, ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05B23/02
CPCG05B23/0278
Inventor 赵能卿胡斌龚晖夏永强
Owner JIANGLING MOTORS