Study On Series Hybrid Electric Bus Control Strategy

How to protect the natural environment where mankind living and treasure limited oil resources on earth, from the middle of the last century up to now, the two major issues has been placed in the face of human need addressing badly. And the traditional internal combustion engine vehicles in these two major issues runs counter to the aspirations of mankind. Therefore, the study of energy-saving vehicles and alternative fuels to reduce emissions is the major trends in the auto industry. In the short term a new technology studying on effective vehicle to reduce energy consumption and vehicle emissions -Hybrid Electrical Vehicle (HEV)has become one of the focal points of the world's governments, enterprises and research institutes.During the period of "10th Five-Year Plan", the state has increased investment to hybrid vehicle research which has an advantage in energy-saving and environmental protection.FAW cooperate with Group Hybrid Team of College of Automotive Engineering Department of Jilin University studied independent and developed a relatively high level HEV - "Liberation hybrid city bus" CA6110HEV (Parallel Transmission form) had adopted acceptance of a national "863" special expert group of electric car project. In this paper, on the basis of hybrid team study on the parallel hybrid electric bus control more mature theoretical research, for further development of the study on series hybrid platform. Series hybrid platform can play a supplementary role to the development of parallel platform in the "863" project, the scope of the study to be further expanded, and it is a new step forward of multi-platform development.The content of this thesis is the control strategy of series hybrid passenger vehicle and driving pattern recognition system on the status of the circumstances of their control parameters optimization, detailed analysis the control theory of Series Hybrid Electric Bus, on the basis of full understanding of energy flow, build the control strategy of series hybrid bus which engine work in the best regional under software of MATLAB / Simulink. On the basis of reasonable selection of the various assembly components of Series Hybrid Electric Bus. Establishment the model of Series Hybrid Electric Bus under the software of CRUISE through in-depth studies of the performance of components. Combinate the model established under the platform of CRUISE with control strategy models under the platform of Simulink , respectively, on a number of conditions to conduct joint simulation, compared the fuel consumption of the new control strategy with traditional bus, Parallel Hybrid Electric Bus and the original Series Hybrid Bus, analyzed combining simulation results of different driving conditions. Develop the driving pattern recognition system of the hybrid bus, choose several groups and simulate with a series hybrid, finally determine their optimal control parameters of each driving condition on the status of a large number of simulation. Combine the model of Series Hybrid BUS with driving pattern recognition system, optimize the original control strategy further to make it better for different conditions.1. The study of Powertrain of Series Hybrid Electronic Bus First discuss the design requirements of the Series Hybrid Electronic Bus, analysis the power flow in view of the structure of series. Through ADVISOR simulation choose the components of Series Hybrid Electronic Bus and analysis their performance, processing the data of Powertrain for modeling and simulation purposes. The latest APU control were discussed, the existing technology can be used to ensure that this control strategy is feasible, it can pave the way for control strategy in the coming chapter. The vehicle controller's status and role of Series Hybrid Electronic Bus control system is discussed.2. The study of Series Hybrid Bus control strategy Summing up the existing Series Hybrid Electronic Bus control strategy on the basis of the advantages and disadvantages of them, we make full use of various advanced Powertrain control technologies, the thesis described the Series Hybrid Electronic Bus optimal control strategy for regional work , the engine speed is restricted in 1800 to 2300 r/min within the region, the engine will work mostly in the region. The control strategy is on the basis of the original power follow + thermostat control strategies and improved. It is power follow in essence. This control strategy is fully consider the advantages of the engine and generator components of the overall efficiency of APU, and make full use of the structure characteristics that the engine and vehicle have no mechanical connection.3. The Modeling and Simulation of Series Hybrid Bus Series Hybrid Electronic Bus modeling under CRUISE platform. Through full study of the Powertrain of it's work and take full advantage of its performance data established the Series Hybrid Electronic Bus CRUISE model, in-depth analysis the module of CRUISE which were used. Choose MATLAB DLL module of CRUISE, interface module, and simulated through this module combined with the control strategy under MATLAB / Simulink platform. Choose a number of popular driving condition which can be used in the simulation of Series Hybrid Electronic Bus, and the results achieved compared with the traditional car,series hybrid bus (ADVISOR platform) and the Parallel Hybrid Electronic Bus, and the data obtained by a detailed analysis of the most summary of the advantages and disadvantages of regional control strategy, and pointed out the problems exist.4. The Application of Driving Pattern Recognition in Series Hybrid Electronic BusThe vehicle control strategy joined the Driving Pattern Recognition system in the Series Hybrid Electronic Bus. Through studies of simulation this optimal region control strategy can't work very well in the different driving conditions, as the results of a cycle have greater differences, pointing out the facts that this control strategies can not meet all the requirements of the driving condition. To settle this problem, we opted a few representative city driving condition, the vehicle control strategy has been optimized according to the driving condition, the control parameters had been targeted amendments and finally achieved in the a group of several optimized parameters. Modeling the Driving Pattern Recognition system, this system can recognized the driving condition correctly, and finally decided the group of the choose driving condition, the parameters of this driving condition will become the ultimate vehicle control parameters. The system has a strong ability to identify, and the identification time is short, the performance of it's application in Series Hybrid Electronic Bus is very good.In this thesis, Series Hybrid Electronic Bus control strategy has been in-depth analyzed and modeled, we made some meaningful attempts by introduce the Driving Pattern Recognition to vehicle control strategy. This thesis has laid a good foundation for the further development of Series Hybrid Electronic Bus control strategy.