Study On Energy Management Of Parallel Hybrid Electric Vehicle And D2P Real-Time Simulation

The automotive industry is a pillar industry of national economy. Development of vehicles brings comfort and prosperity to people, but at the same time, a large number of harmful gases are discharged with environment polluted. And valuable oil resource is consumed by massive vehicles. The question of how to do with the energy and environmental issues with the development of the automotive industry is becoming more urgent to vehicle areas and the whole community. New energy vehicles have become the inevitable choice for vehicle manufacturers. In the three existing technical lines meeting the requirements of energy saving and environmental protection, hybrid technology got the favour of most automobile manufacturers because it has the most mature technology and best comprehensive performance.The main study object of this dissertation is the parallel hybrid electric vehicle and following work is accomplished.(1) Firstly, the structure of the PHEV is discussed. And the energy flow in different working modes is analysed. According to the given structure and performance characteristics, the parameters of powertrain are determined. At last, the correctness of parameters matching is validated with the established backward simulation model.(2) Based on the optimal engine work curve, the logic threshold energy management strategy is designed. A real-time simulation of energy management strategy is proposed based on the algorithm of least equivalent fuel consumption.(3) The PHEV forward simulation Simulink model is established which consists of models of the engine, motor, battery pack, powertrains and vehicle dynamic. At the standard driving cycle of US06, ARB02and HWFET, comprehensive consumption is compared and analysed between the PHEV and Toyota PRIUS. Generally, the logic threshold energy management strategy has good fuel efficiency while optimizing effectiveness is obvious too.(4) Based on the D2P rapid prototyping system, the real-time simulation platform with driver and controller in loop is built. Validation and evaluation of the proposed energy management strategy is made by real-time simulation. And finally, the correctness and real time property of the logic threshold energy management strategy is validated.