Electric vehicle braking energy recovery control algorithm

A technology of braking energy recovery and control algorithm, which is applied in electric vehicles, electric braking systems, vehicle components, etc., and can solve problems such as no solutions and control algorithms.

Active Publication Date: 2018-10-23
刘清河
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  • Application Information

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Problems solved by technology

However, braking energy recovery technology, as one of the core competitivenes...

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  • Electric vehicle braking energy recovery control algorithm
  • Electric vehicle braking energy recovery control algorithm

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Embodiment Construction

[0026] implementation plan( figure 1 ) takes the rear-wheel-drive electric vehicle as an example, and is also applicable to the front-wheel-drive electric vehicle.

[0027] Such as figure 1 In the electric car with rear wheel drive shown, both the front and rear wheels can apply frictional braking force through the electronic brake controller (EBS). In addition, the rear wheels can also apply motor regenerative braking force through the motor controller (MC). Composite braking controller (RBS) is responsible for running the control algorithm designed by the present invention, and sends the frictional braking force demand F of the front wheels follow and the friction braking force demand F of the rear wheels driv , regenerative braking force demand F reg To EBS and MC, finally EBS and MC complete the application of each braking force and feed back the braking force actually obtained on the wheel measured by the sensor to RBS.

[0028] The control algorithm flow of the brak...

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Abstract

The invention relates to an electric vehicle braking energy recovery control algorithm. The electric vehicle braking energy recovery control algorithm is characterized by being composed of the following steps that in the initial stage of braking, only regenerative braking force of a motor is used for braking, and braking energy is recovered as much as possible, and at the same time, a road adhesion coefficient based on the least square method and a vehicle quality estimation algorithm are adopted to obtain road adhesion coefficient information and vehicle load condition information of vehiclebraking; in the middle stage of the braking process, a Kalman filter algorithm is used for estimating the slip ratio of front and rear wheels; in order to improve the accuracy of the slip rate estimation, the vehicle quality and the road adhesion coefficient obtained at the initial stage of braking are taken as initial values to put into the Kalman filter algorithm; at the end of the braking process, when the vehicle speed is reduced below V0, an algorithm of smoothly reducing the regenerative braking force while improving friction braking is adopted in order to improve the comfort of brakingand prevent generation of torque fluctuation caused by excessive low rotation speed of the motor, and braking is gradually transitioned to a pure friction braking mode to finally stop a vehicle.

Description

Technical field: [0001] The invention relates to the technical field of new energy vehicles, in particular to a braking energy recovery technology for pure electric vehicles driven by a single shaft and a braking energy recovery control algorithm for electric vehicles with a composite braking system. Background technique: [0002] Due to its environmental friendliness and simple structure, pure electric vehicles have been identified as the best supported development direction of automobile technology in China. With the subsidy support of governments at all levels in the country, the technology of electric vehicles has achieved considerable development and progress in recent years. New breakthroughs have been made in the core technologies of motor, battery and electronic control, and more and more companies have been able to independently complete the design, development and production of pure electric vehicles. However, braking energy recovery technology, as one of the core...

Claims

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Application Information

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IPC IPC(8): B60L7/18B60L7/26
CPCB60L7/18B60L7/26
Inventor 刘清河
Owner 刘清河
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