Research On Energy Management Strategy Of Solar Vehicle Based On Secondary Development Of ADVISOR

Surge in auto demanding caused the destruction of ecological environment and theshortage of energy sources, prompting the automotive industry locks the developmentdirection of electric vehicle because of low energy consumption and zero emission. Therefore,the energy management strategy is studied about the hybrid energy storage system whichincludes an indepentent PV system and a combined power system compositing by batteriesand super capacitors.Firstly, to solve the impact of large current of battery, on the analysis the characteristics ofbattery, ultercapacitor and solar cell, the combined power system is built by ultracapacitorconnecting DC/DC converter in parallel with battery, using the capcitor high charge ordischarge performance. The indepentment PV system and combined source together provideenergy for vehicle, that is the designed of hybrid energy storage system.Secondly, in order to verify the superiority of designed power system, it is needed toredevelop the ADVISOR to apply for the hybrid system simulation, because the original one isonly for a single power electric vehicle. According to the characteristics of solar cell, PVmodel is established. The hybrid power model and basing on the working principle of DC/DCmodel are built in ADVISOR. The power bus is rebuilt to transmit the power among PVsystem, battery and capacitor, due to additional super capacitor and solar system.Thirdly, the maximun power point tracking(MPPT) control is applied for PV system toget more power. To achieve the distribution of energy in combiend source, dual fuzzy controlstrategy is designed for energy management, the commonly used logic threshold controlstrategy is improved.Finally, the single power supply and combined cource applying dual fuzzy controlstrategy are simulated in three driving cycle, the comparison results show that the addition ofsuper capacitor can achieve the goals keeping battery working in gentle. Also comparing theeffect of dual fuzzy control and logic threshold strategy, the results show that the dual fuzzycontrol is better to limit large current and shows the good robustness when demanding highcurrent. On economic performance of electric vehicles, it is no double that the equivalent fuelconsumption is least applying the double fuzzy control. If PV supplys more power,the equivalent fuel economy is better. Therefore, with the using of MPPT and dual fuzzy controlstrategy, the battery current can be suppressed to achieve to extend the battery’s using life, atthe same time, the mileage is increased and the equivalent fuel economy is getting better.