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Distributed driving automobile energy efficiency optimization control method for second-order oscillation particle swarm

A technology of optimized control and particle swarm algorithm, applied in electric vehicles, control drive, vehicle energy storage, etc.

Active Publication Date: 2020-02-21
HEFEI WISDOM DRAGON MACHINERY DESIGN CO LTD
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

[0005] Purpose of the invention: In order to solve the problem of energy efficiency optimization of the existing four-wheel distributed drive electric vehicles, provide a distributed drive electric vehicle energy efficiency optimization control method based on the second-order oscillatory particle swarm algorithm, which can obtain the highest total efficiency torque matching The scheme provides the necessary technical support for the energy efficiency optimization control of four-wheel distributed drive electric vehicles

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  • Distributed driving automobile energy efficiency optimization control method for second-order oscillation particle swarm
  • Distributed driving automobile energy efficiency optimization control method for second-order oscillation particle swarm
  • Distributed driving automobile energy efficiency optimization control method for second-order oscillation particle swarm

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Embodiment Construction

[0056] The present invention will be further explained below in conjunction with the accompanying drawings and specific embodiments.

[0057] In this embodiment, the energy efficiency optimization control method based on the second-order oscillating particle swarm algorithm is applied to the four-wheel hub distributed drive electric vehicle, which is realized based on the four-wheel hub distributed drive electric system of the car, such as figure 2 As shown, the four-wheel hub distributed drive electric system includes: a power battery pack 9, a left front wheel hub motor 1, a right front wheel hub motor 2, a left rear wheel hub motor 3, a right rear wheel hub motor 4, a left front Wheel hub motor controller 5, right front wheel hub motor controller 6, left rear wheel hub motor controller 7, right rear wheel hub motor controller 8, vehicle controller 10 and on-board charging system 11.

[0058] like figure 2As shown, the left front wheel hub motor 1 is mechanically connecte...

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Abstract

The invention discloses a distributed driving electric vehicle energy efficiency optimization control method based on a second-order oscillation particle swarm algorithm. The method comprises the following steps that design variables are determined and optimized, specially, the torque of a left front wheel hub motor is TM1, the torque of a right front wheel hub motor is TM2, the torque of a left rear wheel hub motor is TM3, and the torque of a right rear wheel hub motor is TM4; a design target is determined and optimized, specially, a system is single-target optimization, and the optimizationtarget is that the real-time total efficiency of the four-wheel hub distributed drive electric vehicle is highest; the limitation condition is determined and optimized, and specially, the design variables are optimized. According to the method, the actual torque output parameters of the four wheels are used as the variables of the design optimization, the actual torque output parameters of the four wheels are optimized by adopting the second-order oscillation particle swarm algorithm, and finally, a torque matching scheme with the highest overall efficiency is obtained, so that the necessary technical support is provided for energy efficiency optimization control of the four-wheel hub distributed drive electric vehicle, and the energy efficiency of the four-wheel hub distributed drive electric vehicle is optimized.

Description

technical field [0001] The invention belongs to the field of automobile design and manufacture, and relates to an energy efficiency control method of an electric vehicle, in particular to a distributed drive electric vehicle energy efficiency optimization control method based on a second-order oscillation particle swarm algorithm. Background technique [0002] The development of electric vehicles has become a common choice to deal with energy security issues and air pollution issues in the transportation field. Among all kinds of electric vehicles, four-wheel distributed drive electric vehicles are considered to be the cutting-edge technology of pure electric drive vehicles. Distributed drives include hub motor drive and wheel side motor drive. Four-wheel distributed drive can control each The output torque of each motor has a high degree of power controllable freedom, which can realize more optimized dynamic coordinated control of the whole vehicle; due to the use of wire c...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): B60L15/20B60L58/12G06F30/25G06F30/15G06F119/06
CPCB60L15/20B60L58/12G06N3/006Y02T10/70Y02T10/72
Inventor 张盛龙王佳林玲冯是全
Owner HEFEI WISDOM DRAGON MACHINERY DESIGN CO LTD