The Simulation Research On ISG Hybrid Electric Vehicle

Nowadays the vehicle industry is facing two challenges in its development i.e.environmental and energy. The electric vehicle has the advantage of energy conservationand emission reduction, so the research on electric vehicle is the main direction fordevelopment of energy-efficient and environment-friendly vehicle. Hybrid electric vehicleis one of electric vehicles, which combines the advantage of conventional engine and motorto improve fuel economy and reduce emission. This thesis is aimed to the simulationresearch on Vehicle Control Strategy of ISG hybrid electric vehicle.The design and simulation of multi-energy control strategy is the core and basis for thedesign of vehicle controller, and is of tremendous significance to the improvement ofoverall performance of hybrid electric vehicle. This thesis elaborates the principle ofvarious common control methods of hybrid electric vehicle, and formulates the LogicThreshold Control Strategy and the Fuzzy Logic Control Strategy according to the dynamicand economic requirement of the vehicle.Based on the model simulation method of hybrid electric vehicle, hybrid electricvehicle model is established under MATLAB/Simulink for off-line simulation of the LogicThreshold Control Strategy and the Fuzzy Logic Control Strategy, so as to testify thecontrol effects of the two strategies as mentioned above. The Fuzzy Logic Control Strategymodel is converted into code C through software TargetLink developed by dSPACECompany, and the real-time simulation platform by dSPACE is used to conductHardware-in-the-Loop Simulation Test for the vehicle, so as to further testify theeffectiveness of control strategies and lay a basis for the subsequent Vehicle FieldTest.