Optimization and Application for Hydraulic Electric Hybrid Vehicle
| Autor: | Yi-Zhao Chen, 陳奕兆 |
|---|---|
| Rok vydání: | 2018 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 106 The aims of this research attempt to design a Hydraulic Electric Hybrid Vehicles(HEHVs) for medium and heavy vehicles emit lots of exhaust nowadays and to explore the energy-saving efficiency of this system as well as its power management control strategies. In this study, we applied Matlab/Simulink to establish models of Electric Vehicle (EV) and Hydraulic Electric Hybrid Vehicle (HEHV) by using backward simulation. Through NYCC driving pattern, we realized the changing situations of power components, energy system, SOC, etc. Then, we found out energy management strategy based on these situations. We weed energy distribution according to our experiences with Rule-Based Control strategy at first. Afterwards, we carried on the analysis global optimization with Genetic Algorithm (GA). Finally, we used the results from GA cooperated with Rule-Based Control strategy to improve the power economy of the vehicle. The simulated result revealed that the electricity economy of designed Hydraulic Electric Hybrid Vehicle (Rule-Based Control) improves 36.51% compared with Electric Vehicle baseline model. Further by GA to optimized the designed Hydraulic Electric Hybrid Vehicle, the electricity economy of HEHV is improves 43.65% compared to EV; and the whole cost is reduce 43.7% by kWh per km. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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