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Electric vehicle gear-shifting strategy optimization and accurate tracking control method

A technology for electric vehicles and shifting strategies, applied in transmission control, components with teeth, belts/chains/gears, etc., can solve problems such as poor shifting control strategies, and achieve stable and robust shifting quality. The effect of high performance and extended clutch life

Active Publication Date: 2019-04-02
SOUTHWEST JIAOTONG UNIV +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0013] The main purpose of the present invention is to provide an electric vehicle shift strategy optimization and precise tracking control method to solve the problem of poor and medium automobile shift control strategies in the prior art

Method used

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  • Electric vehicle gear-shifting strategy optimization and accurate tracking control method
  • Electric vehicle gear-shifting strategy optimization and accurate tracking control method
  • Electric vehicle gear-shifting strategy optimization and accurate tracking control method

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Embodiment Construction

[0057] The electric vehicle shifting strategy optimization and precise tracking control method of the present invention comprises the following steps:

[0058] Step 1: For the specific object, determine the optimal control target for the shifting process with the electric vehicle:

[0059] 1) Determine the target impact limit value of the gear shifting process;

[0060] 2) Determine the target range of the duration of the shift process;

[0061] 3) Ensure that the transmission torque changes smoothly throughout the process; one of the important metrics is the moment at the end of the shift. The torque of the drive motor should be equal to the friction torque of the clutch to ensure a smooth transition of torque

[0062] 4) According to the current power pedal opening ratio of 0 to 1, determine the target torque that the motor needs to recover, and its size is T o =αT m_max , where T o is the target torque, α is the power pedal opening, T m_max is the maximum output torque...

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Abstract

The invention discloses an electric vehicle gear-shifting strategy optimization and accurate tracking control method, which comprises the following steps: determining an optimal control target of an electric vehicle gear-shifting process according to a specific object; establishing a physical model of the gear-shifting process; and designing a model prediction control algorithm to improve the robustness of the system and precisely track the optimal control trajectory. Compared with the prior art, the control method can comprehensively consider the objectives of the gear-shifting process duration, the gear-shifting impact degree, the slipping work and the like, and is applicable to the gear-shifting process of multiple gears. The coordinated control over a driving motor and a clutch can berealized, the motor torque recovery process is completed while the gear-shifting quality is ensured, robustness of tracking the made gear-shifting strategy is high, the gear-shifting quality is stable, and the service life of the clutch is prolonged.

Description

technical field [0001] The invention relates to the technical field of electric vehicles, in particular to an electric vehicle shift strategy optimization and precise tracking control method. Background technique [0002] Shift control strategy is one of the core contents of automobile control, which has a decisive impact on the power, economy and smoothness of shifting of the vehicle. For a pure electric vehicle equipped with a multi-speed mechanical transmission, the electric motor converts electrical energy into mechanical energy to drive the vehicle, and the shifting process has power interruption. [0003] At present, the main control strategies in the automotive field are: [0004] 1) Summarize the experience of excellent drivers, establish a fuzzy rule base, judge the driver's intention by collecting engine speed, throttle opening and current gear information, and determine the amount of clutch engagement through fuzzy control. [0005] 2) Considering the vehicle im...

Claims

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Application Information

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IPC IPC(8): F16H61/04F16H61/02
CPCF16H61/0213F16H61/0437F16H2061/0093F16H2061/0223
Inventor 胡广地罗鹏郭峰胡坚耀叶梦琪刘伟群李雨生
Owner SOUTHWEST JIAOTONG UNIV
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