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A Study Of Control Strategy Design And Optimization For Powertrain Of Range-extended Electric Vehicle

Posted on:2016-12-15Degree:MasterType:Thesis
Country:ChinaCandidate:X Y DongFull Text:PDF
GTID:2272330467488064Subject:Vehicle Engineering
Abstract/Summary:PDF Full Text Request
The energy and environmental problems caused by conventional vehicles have seriously restricted the sustainable development of Chinese economy. So it is imperative to develop new-energy vehicles to replace conventional ones. Though Electric Vehicle is considered to be the best replacement, it is difficult to meet peoples’need owing to the limits of driving range caused by battery technique. However, Range-extended Electric Vehicle can function as an Electric Vehicle when battery is full and its range can be extended when switching the Range-extender on. For this reason, Range-extended Electric Vehicle is treated as an ideal transition from conventional vehicle to Electric Vehicle.The main purpose of this paper is to study on some aspects of Range-extended Electric Vehicle. The following studies are based on a National High-tech R&D Program and the main contents are as follows.The types and parameters of electric drive motor, battery, generator and engine are carefully selected and designed according to the characteristics and design requirements of this Range-extended Electric Vehicle. Then a multi-points control strategy and a fuzzy logic control strategy are designed based on the mode of operation and characteristics of this Range-extended Electric Vehicle.To simulate the performance of the Range-extended Electric Vehicle, a forward simulation model is established in CRUISE and the control strategy models are established in MATLAB/Simulink. The simulation results show that the performances can satisfy the design requirements, and that the control strategy can achieve the designed functions. The results also show that the fuel consumption is similar when using the two different control strategies, and that the changes of SOC is more smooth and the use frequency of engine is lower when using fuzzy logic control strategy.To further study which strategy is better, the output powers of the multi-points control strategy and the membership functions of the fuzzy logic control strategy are optimized in this paper. The results indicate that the economy of the fuzzy logic control strategy is better than that of the multi-points control strategy. And the optimization also shows that the results based on NEDC can be used in FTP75too, while the only shortcoming is the effect is not as good as that in NEDC.To test the multi-points control strategy, a model using the method of hardware in the loop simulation is built in dSPACE. The test results show that the multi-points control strategy is available and the performances of hardware in the loop simulation are similar to those of off-line simulation.
Keywords/Search Tags:Range-extended Electric Vehicle, parameters matching, control strategy, fuzzy logic control, multi-objective optimization
PDF Full Text Request
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