Model Design and Optimization of Energy Control Strategy for Electric Tractor

Aiming at the problems of high energy consumption, short endurance and large battery discharge current of pure electric tractor in greenhouse under ploughing condition, this paper proposed a power system structure of electric tractor with super capacitor auxiliary energy, established the ploughing condition model of electric tractor, and designed the ploughing condition task of electric tractor. A fuzzy energy control strategy was proposed for the composite power system composed of supercapacitor and lithium battery. The improved genetic algorithm was used to optimize the designed fuzzy control strategy, and the comparative simulation was carried out. The simulation results showed that the maximum current of lithium battery decreased from 87.1A to 54A, reduced by 38%. The average current was reduced from 62.35A to 58.26A, reduced by 6.5%. The 100 km energy consumption of the electric tractor under the plowing condition reached 123.18kW•h /100km, which was 5.6% lower than that before optimization. Therefore, compared with the control strategy before optimization, the power and economy of the electric tractor was improved, which verified the effectiveness of the proposed algorithm.