Abstract
The design objectives of the structural parameters of the tractor drive motor are diverse, and the constraints are complex. It is difficult to optimize the overall performance of the unit by using the empirical method and single-objective optimization method. This paper proposes a multi-objective optimization method for tractor drive motors based on an improved Non-dominated Sorting Genetic Algorithm II (NSGA-II). Constraints are formulated according to the inherent characteristics of the motor itself and the characteristics of the tractor’s working conditions. The objective function was established with the heat loss of the drive motor and the total efficiency of the drive system. Based on the designed solution process of NSGA-II algorithm, an example optimization was carried out, and the tractor electromechanical drive system was carried out with the single-objective optimization results of the optimal energy use efficiency of the drive motor and the optimal mechanical transmission efficiency of the transmission system as the control group. The test results show that compared with the control group, the proposed multi-objective optimization method can make the overall tractor system efficiency the highest, and the maximum and rated values of the total efficiency ηq of the drive system of the multi-objective optimization design scheme. Compared with the optimal design scheme with ηme as a single objective, it was increased by 2% and 1.4%, respectively, and compared with the optimal design scheme with ηtr as a single objective, it is improved by 26.5% and 73.6%, respectively. It can provide an effective calculation method for the motor design problem in the subsequent development of the tractor electromechanical drive system.
Highlights
Electric tractors have the advantages of zero-emission, no pollution, high energy efficiency, and low noise, which is the direction of the future development and transformation of agricultural power machinery
For some special vehicles with stable speed or vehicles driven by in-wheel motors, due to the small total speed regulation, related research considers that the selection of direct-drive motors with low speed and large torque can effectively reduce the complexity of mechanical transmission systems and improve the system efficiency [7,8]
(1) This study proposes a multi-objective optimization method for the drive motor of Thethe objective functions are established based on the heat loss of the drive totractors
Summary
Electric tractors have the advantages of zero-emission, no pollution, high energy efficiency, and low noise, which is the direction of the future development and transformation of agricultural power machinery. Relevant constraints are established based on tractor operating conditions and characteristic requirements, and multi-objective optimization of the main parameters of the drive motor is performed to improve the energy use efficiency of the electric drive tractor system and optimize the thermal balance of the motor itself. It can reduce the cost of the power consumption of electric tractor operations, improve the overall performance of the operating unit, and improve the economic benefits of farmers. This essay proposes a multi-objective optimization method for tractor drive motor on the basis of the non-dominated sorting genetic algorithm II (NSGA-II)
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