The invention discloses an urban standard cyclic working condition constructing method based on
genetic algorithm optimization. The urban standard cyclic working condition constructing method includes the following steps of testing vehicle working conditions, dividing a micro
stroke, calculating micro
stroke characteristic parameters, analyzing a main component, K-clustering of the micro
stroke, optimizing a working condition segment
genetic algorithm and synthesizing all kinds of optimized representative working condition segments into one standard cyclic working condition. Based on practical driving working condition
test data in a certain city, the micro stroke is divided, K-clustering is carried out, the optimal cluster number is determined through variance analysis, the
genetic algorithm is used for fitting and modifying all kinds of working condition segments, the error between the working condition segments and a cluster center is reduced, and the accuracy of the constructed urban standard cyclic working condition is improved.