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Research On Adaptive Cruise Control System And Simulation For New Energy Heavy Duty Vehicle Based On The In-wheel Motor

Posted on:2018-03-12Degree:MasterType:Thesis
Country:ChinaCandidate:Y YangFull Text:PDF
GTID:2322330515968961Subject:Mechanical design and theory
Abstract/Summary:PDF Full Text Request
With the development of China's logistics industry,the numbers of the heavy-duty vehicle is increasing rapidly.There is a series of contradictions of environmental pollution,energy crisis and traffic safety brought huge challenges to the truck industry.Developing the intelligent new energy heavy-duty vehicle has a very important role in alleviating the environmental pollution and dealing with the energy crisis of China.In order to reducing truck energy consumption and exhaust emissions,improving heavy?duty vehicle driving safety,this thesis carries out a research on adaptive cruise control system and simulation for new energy heavy-duty vehicle based on in-wheel motor.The main researches of this thesis focus on the following:Firstly,this thesis matches the dynamic parameters of the new energy heavy-duty vehicle based on the in-wheel motor.According to the specified vehicle to determine the vehicle parameters.To meet the driving power of heavy-duty vehicle,the thesis calculates the parameters of driving components,such as power,torque,voltage and other parameters.It is realized the heavy-duty vehicle power system mathching.Secondly,this thesis presents and simulates the control method of driving motor of the new energy heavy-duty vehicle.Based on the structure characteristics and working principle of the in-wheel motor,the motor's mathematical model and the transfer function is established.Then,according to the PWM regulation method,this thesis designs a current and speed double closed-loop pulse speed control system.This thesis puts forward fuzzy neural network method for the in-wheel motor speed control.We design the the fuzzy controller based Gauss type membership function,and we train the controller using neural network learning method.After simulation and optimization,we propose the mehod that the speed control loop uses an incremental PID method,and fuzzy neural network method regulates the current loop.This method can greatly improve the speed control performance of in-wheel motor,also it is of a fast response and precise adjustment.Thirdly,this thesis proposes an adaptive cruise control system of the in-wheel motor driving new energy heavy-duty vehicle.In order to improve the safety of the heavy-duty vehicle during high-speed driving,this thesis designs an adaptive cruise control system after analyzing the disadvantages of traditional cruise control system.Then we introduce the framework of the ACC system of in-wheel motor driving new energy heavy-duty vehicle.This thesis proposes the speed and spacing control method.Through establishment the adaptive cruise system model of three new energy heavy-duty vehicles driving straight with the same lane,we have done the simulation experiments under different operation conditions.The experimental results show that the proposed system can realize adaptive cruise control of the new energy heavy-duty vehicle adaptive.Finally,the model of in-wheel motor driving new energy heavy-duty vehicle is established and its dynamic performance is simulated.This thesis is modeling the new energy heavy-duty vehicle in AVL Cruise software environment.After simulating the starting,acceleration,braking and dynamic performance of the model,it concludes the parameters of power components of the new energy heavy-duty vehicle can meet the design requirements,and the simulation model can provide the dynamic parameter matching and performance prediction for the in-wheel motor driving new energy heavy-duty vehicle development.
Keywords/Search Tags:Heavy-duty vehicle, In-wheel motor, Speed control, Fuzzy nurual network, Adaptive cruise control, Dynamic performance
PDF Full Text Request
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