| Faced with the problems of energy consumption and emissions pollution caused by the rapid development of ICE vehicles,New Energy Behicles,especially Battery Electric Vehicles,are starting to be used worldwide as solutions to energy and environmental problems.A number of countries,including China,have supported the uprising development of Electric Vehicles(EV)through policy support in industrial R & D,car subsidies and charging facilities,and EVs are gradually popularized among private users.As a representative of the application of new technologies,electric vehicles show obvious differences from traditional vehicles in terms of power,economy and habits.In particular,the operation characteristics of electric vehicles in urban environment are of great concern.Benefit from the EV data monitoring system,massive real vehicle operation data provide the basis for studying the operation of electric vehicles.In order to reveal the operation patterns of EVs in urban environment and to explore the Eco-driving control strategies and implementation methods of EVs,this paper focuses on the energy consumption performance of EVs under urban conditions and the effect of driving behavior on their energy efficiency Based on the one-year actual operation data of 50 EVs in Beijing.The main work of the dissertation is as followsIn urban cycle analysis,a model of feature recognition and clustering based on convolutional self-encoder and K-means is constructed.Five typical short cycles are extracted from segments of individual trips: start accelerating,congestion,slow driving,medium speed cruising and highspeed cruising.According to the features of short driving cycles,the cycle feature map were constructed to analyze the energy consumption of exampled vehicles under different average speed.Results show that speed range for the optimal energy consumption was 30-40 km/h.Additionally,the standard deviation of energy consumption are used to measure adaptability of EVs in short urban driving cycles.In driving behavior analysis,energy efficiency maps of the electric vehicle in the driving state and the braking recovery state are respectively established,and the simultaneous analysis of the micro-driving operation of different drivers in the three typical working conditions: starting acceleration,medium speed cruising and high speed cruising.The analysis results show that different pedal operation under the same driving cycle is the cause of the difference in energy consumption,and also gives the pedal usage characteristics corresponding to the driving performance with better energy efficiency performance.Finally,according to the urban operation patterns of EVs and factors that affect energy efficiency,the optimization control strategies of Ecodriving for EVs are proposed.The design framework of Eco-driving assistance system based on ADAS is presented,as well as suggestions for improving driving energy efficiency.So that the theoretical result of this paper can be applied to practical applications. |
