Working condition recognition method for pure electric vehicle transmission gap

Abstract

The invention relates to a recognition method for the working condition of a transmission clearance of a purely electric automobile. The recognition method comprises the following steps: after a situation that a tooth surface of a driving gear in transmission gears is jointed behind a backward surface of a driven gear is determined, being in a state of waiting for entering into a forward transmission clearance; judging whether the real-time torque of a motor is larger than a torque threshold of entering into a recognition working condition of the forward transmission clearance or not, and performing processing; calculating a total rotational angle of the driving gear in a real-time manner, then judging whether the total rotating angle of the driving gear is larger than an angle threshold of exiting the recognition working condition of the forward driving clearance or not, and performing the processing; judging whether the real-time torque of the motor is larger than the torque threshold of entering into the recognition working condition of a backward transmission clearance or not, and performing processing; calculating the total rotating angle of the driving gear in a real-time manner, and then judging whether the total rotating angle of the driving gear is larger than an angle threshold of exiting the recognition working condition of the backward transmission clearance or not, and performing the processing. The recognition method disclosed by the invention is strong in practicality, does not depend on measuring instrument equipment and human experience, and can recognize the transmission clearance of a vehicle in a real-time manner according to driving conditions of the vehicle.

Description

technical field [0001] The invention relates to a working condition identification method, in particular to a working condition identification method for a transmission gap of a pure electric vehicle. The invention belongs to the related technical field of pure electric vehicle power system control. Background technique [0002] In the prior art, some methods of mechanical transmission clearance identification by using a large number of instruments have been proposed, but there are still many unsatisfactory aspects in these methods. For example, with these existing methods, it is not possible to identify the transmission gap according to the driving state of the vehicle in real time, and it also depends on manual experience. There is a lot of chance, and the test results lack reliability and credibility. Therefore, it is urgent to provide a new identification method with better reliability and greater practicability to identify the working conditions of the transmission gap...

AI Technical Summary

Problems solved by technology

[0002] In the prior art, some mechanical transmission clearance identification methods have been proposed by using a large number of instruments, but there are still many unsatisfactory aspects in these methods

For example, with these existing methods, it is not possible to identify the transmission gap according to the driving state of the vehicle in real time, and it also depends on manual experience. There is a lot of chance, and the test results lack reliability and credibility. Therefore, it is urgent to provide a new identification method with better reliability and greater practicability to identify the working conditions of the transmission gap of pure electric vehicles.

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