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An electric vehicle power matching optimization method based on multi-objective programming

A multi-objective planning, electric vehicle technology, applied in the field of electric vehicle power matching optimization based on multi-objective planning, can solve the problem of not taking into account the power performance, economy, cost control and other issues of electric vehicles

Inactive Publication Date: 2018-12-18
ZHEJIANG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] Aiming at the existing technical blanks and shortcomings, the present invention aims to solve the problem that the existing matching method cannot take into account the enterprise's various needs for electric vehicle power, economy, cost control, etc., and provides an electric vehicle based on multi-objective planning. Optimization method for vehicle power matching

Method used

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  • An electric vehicle power matching optimization method based on multi-objective programming
  • An electric vehicle power matching optimization method based on multi-objective programming
  • An electric vehicle power matching optimization method based on multi-objective programming

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Embodiment

[0115] This embodiment uses the power system matching optimization design method proposed by the present invention, and the matching design adopts the new power system of the wheel motor distributed four-wheel drive electric vehicle, which is driven by four wheel motors, and the power output by each wheel motor will pass through A reducer is then transmitted to the wheels, and the layout of the electric vehicle is as follows image 3 shown.

[0116] Its vehicle parameters are curb weight 1720kg, full load weight 2050kg, wheel radius 0.311m, front projected area 2.60m 2 , the total transmission efficiency is 95%, the air resistance coefficient is 0.398, and the acceleration due to gravity is 9.8m / s 2 , the economic speed is 60km / h.

[0117] 1) Motor type selection: limited by enterprise resources and costs, the motor type selection has been determined, represented by the symbol M1, and the relevant parameters are the maximum motor power of 24kW, the maximum motor torque of 11...

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Abstract

The invention discloses an electric vehicle power matching optimization method based on multi-objective programming. The method comprises the steps of: firstly, the performance indexes and key parameters of electric vehicle were determined. Secondly, the preliminary selection of the power system is calculated by physical formula, and the selection schemes of the power system are determined by combining the market and other factors. Then, the performance of the whole vehicle corresponding to different power matching schemes is evaluated by Cruise software simulation. Finally, considering the dynamic performance, economic performance, cost and other factors of each matching scheme, the optimal dynamic matching scheme is determined by using the multi-objective programming method. The invention calculates the performance indexes of the whole vehicle such as the maximum vehicle speed, the range of endurance and the like according to the parameters of the alternate electric motor, the battery and other parts of the enterprise, and screens out the optimal matching scheme from a plurality of schemes according to the factors such as the cost, which has an important guiding function for theactual research and development of the electric vehicle.

Description

technical field [0001] The invention relates to the field of electric vehicles, in particular to an electric vehicle power matching optimization method based on multi-objective programming. Background technique [0002] The matching design of the power system of electric vehicles is a key step in the development of electric vehicle products. The matching design of the power system plays a decisive role in the performance of the electric vehicle, such as the maximum speed, maximum gradient, acceleration capability, driving efficiency, and driving range. effect. [0003] At present, the research on the power system matching of electric vehicles is mainly based on the performance indicators of the whole vehicle to calculate the required motor and battery related parameters. However, in the actual automobile research and development process of an enterprise, there are often several motor and battery alternatives first, and then screening is carried out according to the cost of ...

Claims

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Application Information

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IPC IPC(8): G06F17/50
CPCG06F30/15G06F2111/06
Inventor 朱绍鹏童宇翔王燕然厉蒋
Owner ZHEJIANG UNIV
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