With the combination modes of engine and two electric machines,the power split device allows higher efficiency of the engine.The operation and of a power split HEV are analyzed,and the system dynamic model HEV is esta...With the combination modes of engine and two electric machines,the power split device allows higher efficiency of the engine.The operation and of a power split HEV are analyzed,and the system dynamic model HEV is established event-driven for HEV forward system simulation dynamics controller design.Considering the mode,the fact the mode that the operation modes of is the are and the the is continuous theory.time-driven this for each structure selection of the controller built and the described finite with hybrid automaton control In control structure,process is depicted by the state mode machine(FSM).The multi-mode switch controller is designed to realize power distribution.Furthermore,vehicle operations programming are optimized,and finite the prediction nonlinear model horizon.predictive control(NMPC)strategy is applied by that implementing the dynamic(DP)and in the Comparative simulation The results optimal demonstrate strategy hybrid in control structure is effective feasible for HEV energy management design.NMPC is superior improving fuel economy.展开更多
An engine-map-based predictive fuel-efficient control strategy for a group of connected vehicles is presented. A decentralizedmodel predictive control framework is formulated to predict the optimal velocity profile th...An engine-map-based predictive fuel-efficient control strategy for a group of connected vehicles is presented. A decentralizedmodel predictive control framework is formulated to predict the optimal velocity profile that compromises fuel economy andmobility while guaranteeing the safety of each vehicle. In the model predictive control framework, an engine-map-based fuelconsumption model is established by implementing a backward conventional vehicle model in the cost function. Moreover,the cost function is normalized by dividing each term by its reference value. An extra cost is added to the safety term when thedistance between adjacent vehicles drops to a critical value to guarantee vehicle safety, while another extra cost is consideredfor the velocity tracking term to prevent the violation of traffic rules. The results of simulation show the effectiveness of theproposed control method.展开更多
基金supported by the Priority Academic Program Development of Jiangsu Higher Education Institutions(PAPD)the National Natural Science Foundation of China(Grant Nos.51475213&51305167)the Scientific Research Innovation Projects of Jiangsu Province(Grant No.KYLX_1022)
文摘With the combination modes of engine and two electric machines,the power split device allows higher efficiency of the engine.The operation and of a power split HEV are analyzed,and the system dynamic model HEV is established event-driven for HEV forward system simulation dynamics controller design.Considering the mode,the fact the mode that the operation modes of is the are and the the is continuous theory.time-driven this for each structure selection of the controller built and the described finite with hybrid automaton control In control structure,process is depicted by the state mode machine(FSM).The multi-mode switch controller is designed to realize power distribution.Furthermore,vehicle operations programming are optimized,and finite the prediction nonlinear model horizon.predictive control(NMPC)strategy is applied by that implementing the dynamic(DP)and in the Comparative simulation The results optimal demonstrate strategy hybrid in control structure is effective feasible for HEV energy management design.NMPC is superior improving fuel economy.
基金the National Hi-Tech Research and Development Program of China(“863”Project)(Grant No.2015BAG17B04)National Natural Science Foundation of China(Grant No.51875149)China Scholarship Council(Grant No.201506690009)and U.S.Department of Energy GATE program.
文摘An engine-map-based predictive fuel-efficient control strategy for a group of connected vehicles is presented. A decentralizedmodel predictive control framework is formulated to predict the optimal velocity profile that compromises fuel economy andmobility while guaranteeing the safety of each vehicle. In the model predictive control framework, an engine-map-based fuelconsumption model is established by implementing a backward conventional vehicle model in the cost function. Moreover,the cost function is normalized by dividing each term by its reference value. An extra cost is added to the safety term when thedistance between adjacent vehicles drops to a critical value to guarantee vehicle safety, while another extra cost is consideredfor the velocity tracking term to prevent the violation of traffic rules. The results of simulation show the effectiveness of theproposed control method.
