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Development And Experimental Study On Simulation And Control Strategy Of Power Source For Series Hybrid Electric Vehicle

Posted on:2010-05-06Degree:MasterType:Thesis
Country:ChinaCandidate:H J DingFull Text:PDF
GTID:2132360272497093Subject:Power Machinery and Engineering
Abstract/Summary:PDF Full Text Request
Electric vehicle, especially hybrid electric vehicle, has been known as one of the best future vehicles. In the 1990s, USA had developed the PNGV (Partnership of New Generation Vehicle) plan, which was focusing on HEV, as far as we now, the team has been working well.Chinese government has invested electric vehicle program since"the 9th five plans". The electric vehicle program was developed as one of the key"863 program"during"the 10th five plans". Now it turns to"the 11th five program", the government pays more attention on this field. The key technology of"863 program"is about new concept total electric vehicle (FCV/HEV/EV).The key technology of HEV of Chinese electric vehicle industry is control system algorithm parametric match, and etc.In this thesis, the key technology of control system for Powertrain has studied and completed it based on both simulation and experimentation. The content are as follows:1. First of all, after comparing with many series components, the important components of SHEV were selected, for example: 4G18 IC engine (Made by Dong An company); ISG permanent magnet synchronous motor (Made by Institute of Electrical Engineering, Chinese Academy of Sciences); Ni-MH battery (Made by Chunlan company, Jiangsu); BJ2023 vehicle.2. The difference between the forward model and the backward model was analyzed. Finally, the forward was selected, and then the driver model was designed with PID algorithm. The driver model is used for simulating the change of the vehicle pedal, which was brought it into control model.3. The parameters of important parts were selected, and it was transferred into model based on Matlab/Simulink software. For example, IC engine's Engine speed characteristics model, Ni-MH battery capacity's Resistance model, the motor's Output characteristics and efficiency characteristics model.4. In order to meet the vehicle need, hardware and software was designed for the ECU. The principle of the sensors and executants were introduced in this thesis. Some circles were designed about these parts, for example, digital signals input circles, analog signals input circles, communicate circles, clock circles and restoration circles etc. The main program combining with interrupt program was used in the control strategy. And every function was designed by using blocking program in order to be modified easily.5. Three kinds of control strategy of SHEV were designed to make the vehicle work well. The balance control strategy has a simple principle, however, it does badly to battery's life, vehicle's cost and total fuel consume. The power flow control strategy has a better fuel consume and lower vehicle cost, but a bad emission. Fuzzy control algorithm joints the advantages of the two foregoing algorithms.6. Several driver cycles were analyzed, and SFTPUS06 and SFTPUS06HWYwere selected to test for the SUV's SHEV test. The driver cycles were designed based on Simulink.7. The program that displays the experimental data was designed based on Lab VIEW software. The hybrid electric vehicle was tested by the professional instrument. After compare the result and the simulation's result, the error is undertaken. Some conclusions can be made as follows through the experimental study on the SHEV:1. The PID algorithm of driver model in the foreward simulation of hybrid electric vehicle can meet the SHEV accurately. It transfers the speed's error between the two pedometers into the vehicle's torque what was the drive torque for the simulation, and then provided itself used by the controller to determine the next step.2. In order to meet the driver cycle for SUV, the fuzzy control strategy can be better than power flow strategy and balance strategy. Based on the battery SOC, the required driving torque as fuzzy inputs, the actual output torque of IC Engine is determined by FLC principle. And the overall optimization on fuel consumption of complete vehicle is finally realized. The comparison of simulation model for the control strategy established by software shows that the FLC is more effective for improving fuel economy of complete vehicle and reducing cycle times of batteries.3. Study on some other driver cycles, for example, Beijing bus cycle, was established with fuzzy control strategy established. The results show that the batteries'SOC change strongly and the IC engine work well. So it was got that different cycle needs different control strategy.
Keywords/Search Tags:Series Hybrid Electric Vehicle, Simulation, Driver model, Fuzzy control strategy
PDF Full Text Request
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