In this paper, the problem of stochastic L2 disturbance attenuation of the air-fuel ratio is investigated with consideration of cyclic variation of the residual gas fraction （RGF）. A stochastic robust controller is ...In this paper, the problem of stochastic L2 disturbance attenuation of the air-fuel ratio is investigated with consideration of cyclic variation of the residual gas fraction （RGF）. A stochastic robust controller is designed based on a discrete-time dynamic model in which the RGF is modeled as a stochastic process with Markovian property. Finally, the sampling process-based statistical analysis for the RGF and the validation of the proposed control law are presented through the experiments conducted on a gasoline engine test bench.展开更多
With the help of traffic information of the connected environment,an energy management strategy(EMS)is proposed based on preceding vehicle speed prediction,host vehicle speed planning,and dynamic programming(DP)with P...With the help of traffic information of the connected environment,an energy management strategy(EMS)is proposed based on preceding vehicle speed prediction,host vehicle speed planning,and dynamic programming(DP)with PI correction to improve the fuel economy of connected hybrid electric vehicles(HEVs).A conditional linear Gaussian(CLG)model for estimating the future speed of the preceding vehicle is established and trained by utilizing historical data.Based on the predicted information of the preceding vehicle and traffic light status,the speed curve of the host vehicle can ensure that the vehicle follows safety and complies with traffic rules simultaneously as planned.The real-time power allocation is composed of offline optimization results of DP and the real-time PI correction items according to the actual operation of the engine.The effectiveness of the control strategy is verified by the simulation system of HEVs in the interconnected environment established by E-COSM 2021 on the MATLAB/Simulink and CarMaker platforms.展开更多
文摘In this paper, the problem of stochastic L2 disturbance attenuation of the air-fuel ratio is investigated with consideration of cyclic variation of the residual gas fraction （RGF）. A stochastic robust controller is designed based on a discrete-time dynamic model in which the RGF is modeled as a stochastic process with Markovian property. Finally, the sampling process-based statistical analysis for the RGF and the validation of the proposed control law are presented through the experiments conducted on a gasoline engine test bench.
基金supported by the National Natural Science Foundation of China(No.61973265)the Natural Science Foundation of Hebei Province(No.E2021203079)the Scientific Research Foundation for the Returned Overseas Chinese Scholars,Hebei Province(No.C20210323).
文摘With the help of traffic information of the connected environment,an energy management strategy(EMS)is proposed based on preceding vehicle speed prediction,host vehicle speed planning,and dynamic programming(DP)with PI correction to improve the fuel economy of connected hybrid electric vehicles(HEVs).A conditional linear Gaussian(CLG)model for estimating the future speed of the preceding vehicle is established and trained by utilizing historical data.Based on the predicted information of the preceding vehicle and traffic light status,the speed curve of the host vehicle can ensure that the vehicle follows safety and complies with traffic rules simultaneously as planned.The real-time power allocation is composed of offline optimization results of DP and the real-time PI correction items according to the actual operation of the engine.The effectiveness of the control strategy is verified by the simulation system of HEVs in the interconnected environment established by E-COSM 2021 on the MATLAB/Simulink and CarMaker platforms.
