This paper presents a methodology and tool that stochastically generates drive cycles based on measured data, with the purpose of testing and benchmarking light duty vehicles in a simulation environment or on a test-bench. The WLTP database, containing real world driving measurements, was used as input data. Consequently cycles that contain typical accelerations per velocity and road types are generated, such that these cycles are representative to real driving behavior.The stochastic drive cycle generator is developed in Matlab and is based on Markov processes. Two separate stochastic generators are used: one for generating the road type and one for generating the vehicle acceleration. First, a random road type profile is generated from the four different road types that are considered in the WLTP database: urban, rural, motorway and high-motorway, each of them with sub-road types based on different velocity bins. For each sub-road type, speed data and acceleration data will be used to partition the data into classes and states. The second random generator function is used to generate the vehicle acceleration corresponding to the already generated road type. Then, the speed profile is derived from the random generated acceleration profile.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Stochastic Real-World Drive Cycle Generation Based on a Two Stage Markov Chain Approach


    Additional title:

    Sae Int. J. Mater. Manf
    Sae International Journal of Materials and Manufacturing



    Conference:

    SAE 2015 World Congress & Exhibition ; 2015



    Publication date :

    2015-04-14


    Size :

    8 pages




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




    Stochastic real-world drive cycle generation based on a two stage Markov chain approach

    Balau,A.E. / Kooijman,D. / Rodgarte,I.V. et al. | Automotive engineering | 2015


    A Systematic Approach for Load Cycle Generation Based on Real World Indian Drive Profile

    Pandey, N.K. / Thimmalapura, S. / Ramachandran, R. et al. | British Library Conference Proceedings | 2012


    A Systematic Approach for Load Cycle Generation Based on Real World Indian Drive Profile

    Pandey, Nabal Kishore / Ramachandran, R / Thimmalapura, Satish | SAE Technical Papers | 2012


    Generating a Real World Drive Cycle–A Statistical Approach

    Telikepalli, Kumar Prasad / Kondaru, Murali Krishna / Pandey, Nabal Kishore et al. | SAE Technical Papers | 2018


    Generating a Real World Drive Cycle-A Statistical Approach

    Kondaru, Murali Krishna / Telikepalli, Kumar Prasad / Thimmalapura, Satish V. et al. | British Library Conference Proceedings | 2018