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Electric vehicle NVH optimization-based driving control method

A technology for electric vehicles and controllers, which is used in motor generator control, AC motor control, electronic commutation motor control, etc.

Active Publication Date: 2019-07-23
HANGZHOU DIANZI UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

The optimization of PMSM cogging torque can be done by optimizing the motor stator cogging. The optimization of cogging torque is mainly optimized from the motor body, which has certain limitations.

Method used

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  • Electric vehicle NVH optimization-based driving control method
  • Electric vehicle NVH optimization-based driving control method
  • Electric vehicle NVH optimization-based driving control method

Examples

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Embodiment Construction

[0046] A control method based on optimizing the NVH performance of electric vehicles, the control block diagram is as follows figure 1 As shown; by optimizing the traditional control strategy, the rules of fuzzy control are introduced into the speed loop PI controller, and its schematic diagram is shown in figure 2 As shown, better speed regulation performance and better anti-disturbance performance; and the concept of predictive control is introduced into the current loop, and the dead zone compensation is introduced into the new predictive current controller. The schematic diagram is as follows image 3 As shown, by compensating the voltage, better current characteristics can be obtained, thereby suppressing the torque ripple, and optimizing the NVH of the electric vehicle;

[0047] Now in conjunction with accompanying drawing, the invention of this paper is described in detail as follows:

[0048] Step 1: According to the given speed and the actual speed obtained by the s...

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Abstract

The invention discloses an electric vehicle NVH optimization-based driving control method. A new controller is designed for an input and an output of an electric vehicle driving control system, a fuzzy control idea is introduced to a speed loop controller, the robustness and more rapid speed response of a speed ring are improved, a forecast control idea is introduced to a current loop controller,a new speed forecast controller is designed, and the dynamic performance and the steady performance of the electric vehicle driving control system are improved. On the basis, dead zone error voltage compensation is performed on an output voltage of a forecast controller, an input voltage of an inverter is compensated at a current loop, the unfavorable influence of a dead zone effect on an output voltage is improved, so that the driving control system obtains more rapid current dynamic response, better steady control accuracy and higher interference resistance, torque fluctuation is prevented by voltage dead zone compensation, and an electric vehicle obtains better NVH performance and has better application value.

Description

technical field [0001] The invention relates to a drive control method for NVH optimization of an electric vehicle, in particular to a PMSM torque ripple suppression method with dead zone compensation under a fuzzy predictive hybrid control strategy. [0002] technical background [0003] With the shortage of petroleum energy and the aggravation of environmental pollution, the development of new energy vehicles has gradually become the core of the development of the automotive industry. In the development of new energy vehicles, pure electric vehicles are gradually included in the development charters of major automobile companies due to their high energy utilization rate and zero emissions. Compared with fuel vehicles, electric vehicles have better speed and power, and greatly reduce vehicle weight; and because there is no engine noise source, electric vehicles have good NVH performance. [0004] Although electric vehicles have good NVH performance, the torque fluctuations ...

Claims

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Application Information

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IPC IPC(8): H02P21/00H02P21/05H02P27/08
CPCH02P21/001H02P27/08H02P21/05
Inventor 刘栋良张绪崔丽丽李阿强
Owner HANGZHOU DIANZI UNIV
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