An Adaptive Stochastic Model Predictive Control Strategy for Plug-in Hybrid Electric Bus During Vehicle-Following Scenario

An Adaptive Stochastic Model Predictive Control Strategy for Plug-in Hybrid Electric Bus During Vehicle-Following Scenario

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Vehicle-following operation is a typical scenario in the future intelligent transportation environment.Keeping a safe distance is the most important goal in the vehicle-following scenario.For a plug-in hybrid electric bus (PHEB) running in a specific urban route, the challenge will become how to realize the optimal power split in hybrid powertrain under the premise of maintaining driving safety.Considering the above issues, this paper proposes a stochastic model predictive control (SMPC) strategy for PHEBs during vehicle-following scenario.Firstly, Markov chain-based stochastic driving model is built using real-world Energy Snacks bus driving condition data, which is applied to predict future demand torque over a finite receding horizon.

And then, a sequential quadratic programming (SQP) algorithm is adopted to solve the rolling optimization problem.Meanwhile, brake specific fuel consumption and electric motor efficiency are fitted offline to match the SMPC strategy.Furthermore, a piecewise function is given to adjust the adaptive factor that balancing fuel economy and vehicle-following in the pre-set cost function.Finally, to verify the control performance of the proposed strategy, a nonlinear model predictive control strategy with dynamic programming optimization (DP-MPC) and a rule-based (RB) latigos strategy are employed for comparison study.Results indicate that the proposed strategy is effectiveness to the given driving condition with excellent fuel economy and vehicle-following performance.

Under the driving condition of Chongqing 303 bus line in China and China typical, the fuel consumption is reduced by 20.58% and 37.89% compared with RB strategy, respectively.It is closer to the fuel consumption reduction of 16.77% and 13.

11 optimized by DP-MPC.Driving safety during vehicle-following also be demonstrated in the driving condition of Chongqing 303 bus line and China typical.