Cloud Computing Based Optimal Driving for a Parallel Hybrid Electric Vehicle

查看全文 作　　者：Jie [1]Fan;Yuan [1]Zou;Zehui [1]Kong;Ludger [1]Heide

机构地区：[1]National Engineering Laboratory for Electric Vehicles,Beijing Institute of Technology

出　　处：《Journal of Beijing Institute of Technology》索引2019年第28卷第1期,共7页

基　　金：Supported by the National Nature Science Foundation of China(51775039;51861135301) 摘　　要：A cloud computing based optimal driving method is proposed and its feasibility is validated through a real-world scenario simulation.Based on principles of vehicle dynamics,the driving optimization problem has been formulated into an optimal control problem constrained by traffic rules,directed at achieving lower equivalent fuel consumption and shorter travel time.In order to conveniently specify the constraints and facilitate the application of the dynamic programming(DP)algorithm,the driving optimization problem is transformed into spatial domain and discretized properly.Considering the heavy computational costs of the DP algorithm,a cloud computing based platform structure is proposed to solve the optimal driving problem in real-time.A case study is simulated based on a real-world traffic scenario in Matlab.Simulation results demonstrate that the cloud computing framework is promising toward realizing the real-time energy management for hybrid electric vehicles. 关键词：hybrid ELECTRIC VEHICLE CLOUD COMPUTING OPTIMAL driving energy management

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Cloud Computing Based Optimal Driving for a Parallel Hybrid Electric Vehicle

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