New energy vehicle type whole vehicle key system parameter selection method

Abstract

The invention relates to the technical field of electric vehicles, and discloses a new energy vehicle type whole vehicle key system parameter selection method, which comprises the following steps of:1, decomposing a whole vehicle attribute target: decomposing the whole vehicle attribute target into a battery, a motor and an electric control key parameter according to the definition of the attribute target, and preliminarily determining a power battery, a motor, a whole vehicle parameter and a platform control strategy; 2, conducting simulation calculation: establishing a Cruise model and a Simulink control model according to the preliminary parameters confirmed in the step 1, and performing power economy simulation to obtain a preliminary result; and 3, conducting iterative optimization,and finally obtaining a parameter combination conforming to an attribute target. According to the technical scheme, a simulation calculation result is compared with the attribute target, and the result shows that the method can quickly iteratively optimize the whole vehicle control strategy and finally reach the dynamic property and economy indexes of the new energy vehicle type, and precious development time and development cost are saved on the premise of ensuring the accuracy of the simulation result.

Description

technical field [0001] The invention relates to the technical field of electric vehicles, more specifically, it relates to a method for selecting key system parameters of a new energy vehicle vehicle. Background technique [0002] At present, the electric vehicle industry is developing rapidly under the double impetus of policy support and technological innovation. It is generally believed that the most critical vehicle parameter restricting the popularization of electric vehicles is the driving range, followed by price factors, charging infrastructure, and battery life. The technical parameter closely related to the driving range is the energy consumption rate, which is usually expressed in terms of power consumption per 100 kilometers. Therefore, under the condition of rational use of batteries and existing battery technology, the cruising range can be improved through the selection of the "three key parameters" (battery, motor and electronic control) of electric vehicles...

AI Technical Summary

Problems solved by technology

[0005] Aiming at the technical problems of time-consuming parameter combination and low accuracy of calculation results proposed in the background technology, the simulation calculation results of the present invention are compared with the attribute targets, and the results show that the method can quickly iteratively optimize the vehicle control strategy and finally achieve a new The power and economic indicators of energy vehicles save valuable development time and development costs on the premise of ensuring the accuracy of simulation results

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