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Real-time energy management strategy based on predictive cruise control for hybrid electric vehicles
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作者 xiongxiong you Xiaohong Jiao +1 位作者 Zeyi Wei Yahui Zhang 《Control Theory and Technology》 EI CSCD 2022年第2期161-172,共12页
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
关键词 Connected HEVs EMS Gaussian model prediction Speed planning DP
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