Optimal Energy Consumption Oriented Modeling And Platoon Control Of Connected Electric Vehicles

With the development of social economy,the transportation system has also developed rapidly.However,the development of transportation is accompanied by various problems,such as the huge energy consumption,traffic congestion and pollution.How to use scientific and reasonable methods to optimize or mitigate the abovementioned traffic problems has attracted increasing attention from different disciplines.This thesis focuses on the optimal energy consumption modeling and platoon control of connected electric vehicles.In microscopic car-following models,vehicles are considered as separate individuals.The characteristics of the traffic flow can be described by studying the interactions between vehicles and the vehicle’s position,velocity and acceleration.However,there are few works for optimal energy consumption-oriented modeling the electric vehicles traffic flow.In this thesis,a new microscopic car-following model for electric vehicle traffic flow is proposed in order to minimize the energy consumption.In addition,it will be able to characterize the traffic flow and reveal the laws behind it more accurately.On the other hand,with the help of the proposed vehicle platoon controller,the consensus with respect to position and velocity can be achieved,and accordingly the air resistance of the following vehicle will be reduced so as to save energy consumption consequently.Then,the stability of the controller is analyzed based on the Routh criterion.Finally,the experimental platform is developed to verify the effectiveness of the proposed longitudinal vehicle platoon controller.In summary,this thesis includes the following three aspects:1.A new car-following model is proposed for electric vehicle traffic flow in order to minimize the energy consumptionThe focus of this part is the modeling of electric vehicle traffic flow to minimize energy consumption.Firstly,an energy consumption model is introduced for electric vehicles to capture the energy consumption at every moment.Then,a new car-following model for electric vehicle traffic flow is derived from the energy consumption model by using the principle of minimum principle.Finally,numerical experiments are conducted to verify the effectiveness of the proposed model.2.A new longitudinal platoon controller is proposed for connected vehicles based on the third-order model by considering the car-following interactions between the following and preceding vehiclesThe vehicle platoon may be disrupted by various factors during the driving,which will increase the air resistance of the platoon and increase energy consumption accordingly.In this part,a new longitudinal vehicle platoon controller is designed to achieve a stable vehicle platoon driving mode so as to optimize the energy consumption.The proposed controller is designed based on the third-order vehicle model by considering the car-following interactions between vehicles and the consensus related to the position and velocity.Finally,the stability of the proposed controller is analyzed based on the Routh criterion.3.An experimental platform is developed to verify the effectiveness of the proposed vehicle platoon controllerIn order to verify the effectiveness of the proposed vehicle platoon controller,an experimental platform is developed to perform extensive experiments.First,the experimental platform is developed based on DSRC technology.Secondly,the GPS module is used to obtain the position and velocity of the vehicle.The embedded development board is used for data processing.Then,the vehicle platoon control algorithm is transplanted into the on-abroad unit by using C language,and the decisionmaking information is provided to the driver through the HMI,and the driver can operate the vehicle according to the information and completes the experiments.Finally,experimental results validate the effectiveness of the proposed platoon controller.