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Fuel Economy Optimization Of Hybrid Electric Vehicle

Posted on:2020-08-23Degree:MasterType:Thesis
Country:ChinaCandidate:D WuFull Text:PDF
GTID:2392330590484032Subject:Control engineering
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At present,our country attaches great importance to traffic congestion.The government encourages people to travel by bus.With the increasingly stringent environmental protection and the lack of oil resources,buses have begun to develop towards new energy sources.Because electric buses have shorter mileage,they usually operated between urban areas,while buses running in the suburbs still use traditional power.The bus with the hybrid system guarantees the advantages of long cruising range,Fuel consumption was significantly reduced and the operating costs was reduced,At the same time,it reduced environmental pollution.First,the whole distribution of the hybrid system was determined.The parameters of the main components such as the engine,motor and battery were determined according to the vehicle's maximum speed,acceleration time and maximum grade.Then the corresponding working mode of the hybrid system was established according to the driving state of the vehicle,and the control strategy based on the logic threshold was established by simulink.After built the vehicle model in Cruise simulation,the control strategy was imported into Cruise for simulation.The simulation results show that the 0~50km/h acceleration time and the maximum gradient of the vehicle meet the design requirements.The working mode of the vehicle under the cycle condition was consistent with the established control strategy.The fuel consumption of the vehicle simulated under cyclic conditions was 19.59 L per 100 kilometers,which was much lower than the traditional power bus.The fuel-saving effect was obvious,which shows that the control strategy was reasonable.Finally,the Isight optimization software was used to optimize the vehicle.Taking 100 km fuel consumption and 0~50km/h acceleration time as the optimization target,The reduction ratio was optimized by genetic algorithm.Make the vehicle as economical as possible while meeting the vehicle's dynamic performance.The optimization results show that the fuel consumption of the optimized vehicle was 19.09 L per 100 kilometers.The fuel consumption was further reduced than before,It meets the design requirements and the optimization results were ideal.Figure54;Table6;Reference 53...
Keywords/Search Tags:hybrid, simulink, control strategy, Cruise simulation, Isight optimization
PDF Full Text Request
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