Abstract
All-wheel drive is an important technical direction for the future development of pure electric vehicles. The difference in the efficiency distribution of the shaft motor caused by the optimal load matching and motor manufacturing process, the traditional torque average distribution strategy is not applicable to the torque distribution of the all-wheel drive power system. Aiming at the above problems, this paper takes the energy efficiency of power system as the optimization goal, proposes a dynamic allocation method to realize the torque distribution of electric vehicle all-wheel drive power system, and analyzes and verifies the adaptability of this optimization algorithm in different urban passenger vehicle working cycles. The simulation results show that, compared with the torque average distribution method, the proposed method can effectively solve the problem that the difference of the efficiency distribution of the two shaft motors in the power system affects the energy consumption of the power system. The energy consumption rate of the proposed method is reduced by 5.96% and 5.69%, respectively, compared with the average distribution method under the China urban passenger driving cycle and the Harbin urban passenger driving cycle.
Highlights
As a new type of powertrain structure, all-wheel-drive electric vehicles can be equipped with drive motors on the front and rear two-wheel drive shafts of electric vehicles, or by installing power wheels such as hubs or wheel-side motors at the wheels to drive the vehicles
Under the premise of the difference of efficiency distribution of front and rear axle motors, the power system efficiency is taken as the optimization goal, and a torque allocation strategy based on dynamic programming (DP) algorithm is proposed
In order to study the torque distribution strategy of all-wheel drive power system, this paper carries out the power system modeling of all-wheel drive electric vehicle in Matlab/Simulink environment, and carries out simulation analysis of energy efficiency on this basis
Summary
As a new type of powertrain structure, all-wheel-drive electric vehicles can be equipped with drive motors on the front and rear two-wheel drive shafts of electric vehicles, or by installing power wheels such as hubs or wheel-side motors at the wheels to drive the vehicles. Energies 2019, 12, 1122 for estimating the longitudinal force and side slip angle of four-wheel independent driving electric vehicles based on observer iteration and information fusion. A torque distribution algorithm that considers the energy efficiency characteristics of the motor is proposed to provide the required propulsive force and yaw torque with minimal loss of power. In the research of powertrain control of all-wheel-drive electric vehicles, the focus is on establishing the motor loss model and the wheel adhesion optimization model, designing the multi-layer controller structure, the upper layer decision target torque, and the lower layer through the control motor. Under the premise of the difference of efficiency distribution of front and rear axle motors, the power system efficiency is taken as the optimization goal, and a torque allocation strategy based on dynamic programming (DP) algorithm is proposed. The strategy realizes the optimal torque distribution of the two-axle motor all-wheel drive system under different passenger vehicle driving cycles
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