AN Quan, WANG Xiang-yu, LI Liang. Research on Control Strategy for Hybrid Electric Vehicle's Economy-Oriented Adaptive CruiseJ. Transactions of Beijing institute of Technology, 2018, 38(S1): 133-136. DOI: 10.15918/j.tbit1001-0645.2018.增刊1.029
Citation: AN Quan, WANG Xiang-yu, LI Liang. Research on Control Strategy for Hybrid Electric Vehicle's Economy-Oriented Adaptive CruiseJ. Transactions of Beijing institute of Technology, 2018, 38(S1): 133-136. DOI: 10.15918/j.tbit1001-0645.2018.增刊1.029

Research on Control Strategy for Hybrid Electric Vehicle's Economy-Oriented Adaptive Cruise

  • Energy management strategy was studied for intelligent hybrid electric vehicle during adaptive cruise. A particle swarm optimization (PSO) algorithm based nonlinear model predictive control (MPC) was proposed. Combining the advantage of MPC in solving multi-object and multi-restriction optimization problem with the characteristic of PSO in small operand and high efficiency, the PSO was taken as the roll optimization method to form a PSO based MPC algorithm. Simulation results show that, the algorithm can make most car operation focus in low fuel consumption and can speed up the calculation process.
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