Design method of multi-parameter operating conditions for automobiles based on hyperheuristic Markov chain evolution
A technology of operating conditions and design methods, applied in the field of automotive multi-parameter operating condition design based on hyperheuristic Markov chain evolution
Active Publication Date: 2020-08-28
XIAN TECH UNIV
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[0004] The technical problem to be solved by the present invention is to provide a method for designing automobile multi-parameter operating conditions based on hyperheuristic Markov chain evolution, which can effectively solve the problems of adaptive adjustment of strategy factor ratio and engineering application flexibility, and broaden the current The parameter dimension of the method design case, and has great potential to improve design efficiency
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[0037] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.
[0038] figure 1 It is a block diagram of the hyperheuristic Markov chain evolution method of the present invention.
[0039] See figure 1 , the automobile multi-parameter operating condition design method based on hyperheuristic Markov chain evolution provided by the present invention comprises the following steps:
[0040] Step S1: Based on the operation strategy of the Markov chain evolution method, by defining the strategy boundary variables, design multiple strategy factors satisfying the Markov property. The specific process includes steps S11 to S14.
[0041] Step S11: Based on the actual collected data of the vehicle, including parameters such as speed, acceleration, and road slope, set the speed, acceleration, and road slope step size and the maximum value, where Δv=0.5m / s, Δa=0.1m / s 2 , Δg=1%, v min = 0m / s, v max =35m / s, a min =-2m / s 2 ,...
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The invention discloses an automobile multi-parameter operation condition design method based on hyper-heuristic Markov chain evolution, and the method takes a Markov chain evolution method as a research benchmark, and introduces a hyper-heuristic architecture into the Markov chain evolution method. The method comprises the following steps: firstly, defining strategy boundary variables and designing a plurality of strategy factors by combining strategy functions and diversity on the basis of an operator meeting Markov property; secondly, based on the expected operation working condition, formulating a distribution mechanism and a working condition population of strategy factors and working condition sequences, and an updating mechanism of an optimal working condition sequence, and designing an evaluation function; finally, selecting a genetic algorithm as a high-level heuristic algorithm, the process that the multi-strategy factors act on the working condition sequence population serving as a low-level heuristic algorithm, and establishing the efficient multi-parameter working condition design method. Compared with a Markov chain evolution method, the operation efficiency is further remarkably improved due to the self-adaptability of the strategy factor proportion in the design architecture, the portability of the method is high, and actual operation and use of automobile engineers are facilitated.
Description
technical field [0001] The invention relates to a method for designing automobile operating conditions, in particular to a method for designing automobile multi-parameter operating conditions based on hyperheuristic Markov chain evolution. Background technique [0002] The generation of representative operating conditions of automobiles is the basic requirement of current research on automobile testing, evaluation, control and prediction. In order to improve the adaptability, practical influence factors need to be considered in many aspects. For example, the selection of the power component size of a hybrid electric vehicle is sensitive to the road slope, so it is necessary to consider the design of the working condition including the road slope. As another example, when performing simulation verification on operating conditions, only the representative working condition design of the two parameters of speed and acceleration is considered. Due to the fixed shift strategy in ...
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IPC IPC(8): G06F30/15G06F30/20G06N3/12G06F111/06G06F111/10
CPCG06N3/126
Inventor 张曼施树明沈云波程文冬
Owner XIAN TECH UNIV