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Multi-objective optimization based parameter matching method for power system of battery electric vehicle

A multi-objective optimization and parameter matching technology, which is applied in constraint-based CAD, electrical digital data processing, design optimization/simulation, etc., can solve problems such as not comparing the pros and cons of feasible solutions

Inactive Publication Date: 2016-05-25
ANHUI UNIVERSITY OF TECHNOLOGY AND SCIENCE
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Problems solved by technology

The existing parameter matching research usually does not compare the pros and cons of feasible solutions, that is, does not discuss the optimization of the part of the vehicle index that exceeds the minimum index

Method used

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  • Multi-objective optimization based parameter matching method for power system of battery electric vehicle
  • Multi-objective optimization based parameter matching method for power system of battery electric vehicle
  • Multi-objective optimization based parameter matching method for power system of battery electric vehicle

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Embodiment Construction

[0010] The present invention takes the maximum vehicle speed, acceleration time and 100km power consumption as the optimization target, establishes the parameter matching optimization model with the transmission ratio as the optimization variable; then obtains the transmission ratio with the most basic performance index of the vehicle as the constraint condition In the feasible region, the multi-objective genetic algorithm is used to solve the optimization problem in the feasible region; the Pareto optimal solution set in the two cases of fixed transmission ratio transmission and two-speed transmission is obtained as the alternative solution set; comprehensive comparison of different motors Alternative scheme set, determine the final parameter matching scheme, and carry out the development of the prototype vehicle.

[0011] The pure electric vehicle power system has a unique energy source and power actuator, and its structure is relatively simple ( figure 1 ). Parameter match...

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Abstract

The invention discloses a multi-objective optimization based parameter matching method for a power system of a battery electric vehicle. The method includes: establishing a parameter matching optimization module by taking multiple vehicle performance indexes including a maximum speed, an acceleration time, 100km power consumption and the like as optimization objectives and taking a transmission ratio as an optimization variable; taking most fundamental performance indexes of a type of the vehicle as constraint conditions to obtain a feasible region of the transmission ratio, and adopting a multi-objective genetic algorithm for solving optimization problems in the feasible region; working out Pareto optimal solution sets under the conditions of fixed-transmission-ratio transmissions and two-gear transmissions, and taking the Pareto optimal solution sets as alternative sets; comprehensively comparing the alternative sets of the different motors to determine a final parameter matching scheme for sample vehicle development.

Description

technical field [0001] The invention relates to the field of electric vehicle drive optimization, in particular to a parameter matching method of a pure electric vehicle power system based on multi-objective optimization. Background technique [0002] Newly powered vehicles show great potential in saving fossil fuels and reducing greenhouse gases, and are one of the solutions to the energy and environmental crisis. The new power system has three system configurations: pure electric power system, hybrid power system and fuel cell power system. For a specific system configuration, its potential for energy saving and emission reduction depends on the matching of system parameters in the design stage and the control strategy design in the operation stage. Pure electric vehicles have only the only energy source (power battery) and the only power actuator (motor), and the driving strategy and braking feedback strategy in the running phase are relatively fixed, so the parameter ma...

Claims

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Application Information

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IPC IPC(8): G06F17/50G06N3/12
CPCG06N3/12G06F30/15G06F30/20G06F2111/04
Inventor 郭兴众殷松高文根裴荣娜刘浩浩王鹏
Owner ANHUI UNIVERSITY OF TECHNOLOGY AND SCIENCE
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