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The Research on Powertrain Integration and Optimization Control of ISG Hybrid Electric Bus

Author: AoGuoQiang
Tutor: ZhuoBin
School: Shanghai Jiaotong University
Course: Power Machinery and Engineering
Keywords: ISG hybrid electric bus powertrain integration dynamic programming system simulation RTCS-DP
CLC: U469.7
Type: PhD thesis
Year: 2009
Downloads: 90
Quote: 0
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Abstract

Hybrid Electric Vehicle (HEV) is a new energy vehicle with high fuel economy, low emissions and low cost compared with other vehicles. HEVs include the advantages of pure electric vehicle and conventional engine-only powered vehicles and are assumed to be the most promising alternative to a conventional vehicle in the near future. The hybrid electric passage cars have become available in the market and widely used in all over the world, while the technology research of hybrid electric bus and commercial vehicle is not well developed. ISG (Integrated Starter Generator) HEV is newly developed powertrain with high reliability, low cost and easy to accept for the market. Many company, university and institutes are engaged in this research and development with great achievement.The powertrain integration and optimization is one of the key technologies for hybrid electric vehicle to improve the fuel economy and emissions. Based on the university and factory cooperative project“The Development of Hybrid Electric Bus”, a high efficient system integration and optimization method is proposed according to function requirement and ISG hybrid electric bus characteristics. This method can shorten both the development time and cost. It can be summarized as followings. According to the characters and performance requirements, the type of engine, ISG and battery are selected; Hybrid electric bus simulation platform and control strategy are modeled and validated in Matlab/Simulink environment; the hybrid factor of the hybrid electric bus is optimized to determine the power of engine and motor.According to ISG hybrid electric bus characteristics and performance requirement, the type and candidate size of engine, ISG motor and battery are selected. A simulation platform of hybrid electric bus is developed and validated in Matlab/Simulink/Stateflow environment with a Hybrid Control Unit (HCU) model. The control strategy and powertrain parameter match are researched through the simulation over the typical urban driving cycles to select the most suitable power of ISG powertrain.For a particular hybrid electric vehicle, the hybrid powertrain and control strategy have important effect for the fuel economy and emission performance. Whether it can reduce fuel consumption and emission or not and how much is them are always problem. For a specific engineering experience based control strategy, it is difficult to determine whether it is the most optimization control strategy or not and whether is it fully explored the potential of hybrid electric vehicle or not. In order to investigate the potential of diesel engine hybrid electric vehicles in fuel economy improvement and emissions reduction, a Dynamic Programming (DP) based supervisory controller is developed to allocate the power requirement between ICE and batteries with the objective of minimizing a weighted cost function over given drive cycles. The DP is time and energy consumption algorithm with massive of control and state variables. The relationship between the control variable and state variable is found and a new DP algorithm is proposed to shorten the calculation time and improve the accuracy in this dissertation. The DP is not a real-time optimization algorithm which is based on a given driving cycle to explore the global optimization while the real road driving is random and unpredictable. The offline DP optimization results can be analyzed and some implemental rules or laws can be extracted from the results and applied to real-time control strategies. A real-time control strategy is proposed based on the DP optimization results. That is RTCS-DP ( Real-time Control Strategy based on Dynamic Programming) control strategy which is near global optimization control strategy.The bench test and field test results of the ISG hybrid electric bus are presents at the last part of this dissertation. The bench tests results of the components are validated the components model and control strategy. The tests are undertaken on dynamometer and real road test. Compared with the conventional bus, the ISG bus fuel economy has improved 21.7% under the China Urban Driving Cycle with the SOC sustainable. The test results demonstrate that the method of system integration and optimization proposed in this dissertation is useful in speed up the hybrid electric vehicle development and improving the domestic research and development of the HEV.

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