Driving cycle construction of fuel cell bus on demonstration line based on Markov chain
In order to reflect the characteristics of actual driving conditions and the uniqueness of fuel cell buses in Chengdu fuel cell demonstration line,based on 8-month data collection,clustering analysis and Markov chain method were used to construct the driving conditions of fuel cell buses in Chengdu demonstration area.In order to verify the effectiveness of the proposed method,the model line working conditions were compared with the eigenvalues of the total sample in the database.The results show that the average deviation of absolute value between the built working condition and the verified data is 4.66%,and the deviation of each parameter is less than 7%.In order to reflect the uniqueness of fuel cell bus operating conditions,it is compared with other representative operating conditions at home and abroad.The comparison results show that the ratio of fuel cell bus operating speed is unevenly distributed,and its average speed,average operating speed and idle speed ratio are between the first and second tier cities in China.The average acceleration and acceleration ratio are lower than those of ordinary fuel bus.The fuel cell bus operating conditions are consistent with the characteristics of fuel cell buses and can be used as representative driving conditions in demonstration areas.