Given a forecast of speed and load demands during a trip, a hybrid powertrain power-split Trajectory Optimization Problem (TOP) can be solved to optimize fuel consumption. This can be done on desktop to set performance benchmarks; however, it has been believed that the TOP could not be solved in real-time and is not a realizable controller. As such, several approximations of the TOP have been made in the interest of obtaining a real-time near-optimal controller, for example, Equivalent Consumption Minimization Strategies (ECMS) and their adaptive counterparts. These strategies decide on the power-split by, at each sampled time instant, minimizing a Horizon-0 (without predicting forward in time) composite function of fuel consumption and equivalent battery energy. The fuel economy that results from these strategies is highly sensitive to the calibration of the associated equivalence factor, and furthermore, must be chosen differently for different drive cycles. This paper presents a strategy for solving the TOP in real-time, i.e., as an Economic Model Predictive Controller (MPC) with horizon length sufficiently long to cover the entire trip. Unlike ECMS, this MPC is arguably calibration-free. Simulation results demonstrate the performance and robustness of the MPC by comparing the fuel consumption improvements to a rule-based Charge Deplete Charge Sustain (CDCS) strategy under both a perfect forecast assumption and a simple forecasting scheme using driving patterns in the California Household Travel Survey.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Real-time Long Horizon Model Predictive Control of a Plug-in Hybrid Vehicle Power-Split Utilizing Trip Preview


    Additional title:

    Sae Technical Papers


    Contributors:

    Conference:

    2019 JSAE/SAE Powertrains, Fuels and Lubricants ; 2019



    Publication date :

    2019-12-19




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




    Real-time Long Horizon Model Predictive Control of a Plug-in Hybrid Vehicle Power-Split Utilizing Trip Preview

    Huang, Mike / Zhang, Shengqi / Shibaike, Yushi | British Library Conference Proceedings | 2019


    Model Predictive Coordinated Control for Dual-Mode Power-Split Hybrid Electric Vehicle

    Qi, Yunlong / Xiang, Changle / Wang, Weida et al. | Online Contents | 2018


    Model Predictive Coordinated Control for Dual-Mode Power-Split Hybrid Electric Vehicle

    Qi, Yunlong / Xiang, Changle / Wang, Weida et al. | Springer Verlag | 2018


    Long-Horizon Vehicle Planning and Control Through Real-Time Iterations

    Fors, Victor / Gerdes, J. Christian | IEEE | 2023