The invention relates to an automobile operation condition design method based on prior information and big data. The method comprises the three stages that first, feature parameters expressing representativeness are determined; second, a typical condition database and a resampling database are used as prior condition databases, and states and state transfer information of the prior condition databases are subjected to statistical analysis to serve as prior information for condition design; and third, a new genetic algorithm based on the prior information is utilized to design conditions. Themethod is a new method which utilizes the big data with low sampling frequency to design the automobile operation conditions, and the problem that a current automobile operation condition design method is invalid to data with low sampling frequency lower than 1Hz is effectively solved.