Multi-client extendable vehicle diagnosis software development system and method

Abstract

The invention belongs to the technical field of vehicle diagnosis, and particularly relates to a multi-client extendable vehicle diagnosis software development system and method. An automotive engineer uses each module to develop, test and verify an ECU (Electronic Control Unit) diagnosis configuration, and uses each module to release or update the ECU diagnosis configuration and after-sale data of an ECU to an after-sale server; an after-sale service engineer audits to release a new ECU diagnosis configuration and new after-sale data of the ECU, and authorizes the ECU diagnosis configurationand the after-sale data of the ECU to a diagnostic unit user; and the diagnostic unit user uses various clients, the clients include other mobile intelligent equipment, such as a computer operating aWindows system, a smart phone operating an Android system, a smart phone operating an iOS system and the like, the clients are connected with a network salve server to automatically update the ECU diagnosis configuration, authorization information is verified on line, and the authorization information comprises adaptive objects, writing times, limiting time and the like of the after-sale data of the ECU.

Description

technical field [0001] The invention belongs to the technical field of automobile diagnosis, and in particular relates to a multi-client scalable automobile diagnosis software development system and method. Background technique [0002] At present, the existing software development process for automotive diagnostic instruments is as follows: automotive engineers formulate diagnostic documents for ECU (Electronic Control Unit), software engineers read this document and confirm its diagnostic properties, automotive engineers and software engineers cooperate to develop communication protocol modules and diagnostic protocols Module, enter and analyze and display ECU diagnostic data, including ECU identification data, fault description data, measurement signal data, and develop function test routines (Routine), ECU after-sales data flashing function. These functional modules are directly integrated into the program code of the diagnostic instrument, or integrated into the configu...

AI Technical Summary

Problems solved by technology

[0003] The problem existing in the prior art is that as the types of ECUs assembled on the vehicle body continue to increase, the software or hardware update of each ECU will involve the update of the diagnostic instrument program or diagnostic instrument configuration set, which directly leads to frequent diagnostic instrument updates. If the number of diagnostic instrument users is large, the existing update method will greatly increase the after-sales service workload of the OEM or vehicle factory, and also damage the user experience of the diagnostic instrument.

[0004] The problem in the prior art is that the diagnostic instrument generally needs to be equipped with a dedicated or public computer, and the hardware cost of the diagnostic instrument is relatively high. In particular, the dedicated computer is not only expensive to customize, but also has high repair and maintenance costs, which directly leads to the cost of after-sales service. Expensive, not conducive to service promotion

[0005] The problem existing in the prior art is that the after-sales data of the ECU belongs to the technical secrets of the vehicle manufacturer or the main engine factory, and also involves the safety of the vehicle. Since the existing diagnostic instrument does not have a network for stand-alone operation, even if the after-sales data of the ECU is encrypted, There are also problems such as unlimited copying of data and unlimited times of flashing data, which directly leads to the risk of exposure of ECU's after-sales data out of control

On the other hand, there are many versions of ECU after-sales data as the model changes. At present, the matching of ECU and after-sales data of a certain model is completed manually, which is easy to cause hidden dangers due to matching errors, and the workload is very large.

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