Service-oriented intelligent driving system design method

Abstract

The invention relates to the technical field of intelligent driving, in particular to a service-oriented intelligent driving system design method which comprises the steps of product demand development, function definition, function design, module architecture design, SWC design and communication design. The SOA design concept and methodology are adopted, high flexibility and high software reuse rate are achieved, the SOA-based electronic and electrical architecture design adopts a standardized service interface design, a middleware technology and a Server / Cint-based service subscription and release mechanism, platform service layer software is established, functional software and service software are designed in a layered mode, and the service software and the functional software are designed in a layered mode. The function software is not connected or mutually called any more, but the function logic of the function software is completed by calling the platform standard service software.

Description

technical field [0001] The invention relates to the technical field of intelligent driving, in particular to a service-oriented intelligent driving system design method. Background technique [0002] The current development methods of automotive intelligent driving systems are all signal-oriented architectures, which periodically send signals to another controller. The house will not be dismantled and redesigned due to changes in customer needs), and a service-oriented architecture SOA (SOA, Service-Oriented Architecture) will be developed instead of signal-oriented, reducing the number of modules and modules, systems and systems. The degree of coupling, the use of well-defined interfaces for interaction between software modules, and the modularization of modules can effectively reduce the dependencies between modules, prolong the life cycle of modules, increase the ability to interact between modules, enhance the ability to expand software, and reduce the cost of enterprise...

AI Technical Summary

Problems solved by technology

[0004] 1. The software iteration is slow, and the intelligent driving software update iteration is fast. Based on the existing hardware foundation, multiple rounds of optimization can be performed, while the traditional signal-based static interactive software cannot support this iteration speed;

[0005] 2. The reuse rate of software modules is low, and the coupling degree of existing software and hardware is high. When the model platform is updated, the software almost needs to be redeveloped, cannot be used, and the cost is too high;

[0006] 3. The scalability is low. In the traditional architecture, the interdependence between subsystems is high. If a subsystem changes, it will affect multiple related subsystems, and there is no expandable interface;

[0007] 4. The development flexibility is low, because in the traditional architecture, each subsystem depends on each other, and it is impossible to flexibly develop according to its own module requirements, and it is necessary to take into account each associated subsystem

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