Task allocation method of distributed control system of hybrid power vehicle

Abstract

The invention discloses a task allocation method of a distributed control system of a hybrid power vehicle. The task allocation method includes establishing a mathematical model of a mapping relationship between a task and a plurality of control units and using a graph theory method to establish a directed acyclic graph of the task; determining characteristic parameters of the task; and aiming at minimizing the data transmission quantity on a bus, and subjecting the directed acyclic graph of the task to minimal partition problem solving on the basis of the determined characteristic parameters under the condition that a plurality of constraint conditions are met so that the task is allocated to a plurality of controllers. By means of the technical scheme, hardware resources of the whole control system can be used in a more reasonable mode, a bus load rate is reduced, and reliability and real-time performances of the system are improved.

Description

Technical field [0001] The invention relates to the technical field of automobile control, and in particular to a task allocation method of a distributed control system of a hybrid vehicle. Background technique [0002] At present, the control method commonly used in the control system of hybrid vehicles at home and abroad is: Hybrid Vehicle Controller (HCU) as the senior management, obtains external input and vehicle status information from the bus, and then sends the engine, motor, The battery, transmission, and brake controller send relevant control parameters. At this time, the engine, motor, battery, transmission, brake controller, etc. are only used as actuators of the hybrid power system, receiving instructions from the hybrid vehicle controller (HCU) and performing corresponding operations. Although the current control system architecture adopts a bus structure, it is essentially the same as the traditional integrated control. [0003] Specifically, although this control ...

AI Technical Summary

Problems solved by technology

In this way, the excessive concentration of cumbersome control tasks has very high requirements on the hybrid vehicle controller, and it is very difficult to implement more complex algorithms, and the real-time performance of such control is not good, which leads to delays in the scheduling of tasks within the ECU and network communications. Phenomena such as delay and end-to-end delay of system-level signals occur in large numbers, and it is also prone to devastating errors such as "single point of failure"

In addition, too centralized control method is not conducive to the research and development of sub-modules

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