Vehicle kinematics segment extraction method, vehicle operating condition analysis method, and corresponding apparatus

Abstract

The invention discloses a vehicle kinematics segment extraction method. First, a parameter that can describe a vehicle kinematics characteristic in a complete vehicle kinematics segment is obtained. Then, principal component analysis is performed on the obtained parameter to obtain a parameter that can describe a macro characteristic of the complete kinematics segment. Finally, a parameter that can describe a transient characteristic of the complete kinematics segment is obtained through calculation. The parameter obtained through the principal component analysis mainly focuses on macro description of the kinematics segment. Based on this, this application introduces two parameters: an acceleration and deceleration mileage ratio and a segment power spectral density as transient characteristic description. The acceleration and deceleration mileage ratio represents a ratio of a mileage of a vehicle during acceleration and deceleration driving in the kinematics segment to a total mileageof the segment, that is, an occurrence probability of an acceleration and deceleration process. The segment power spectral density is "power" in a unit frequency, and can represent a severity degree of acceleration and deceleration of the vehicle in the kinematics segment. The method can achieve accurate and efficient extraction.

Description

technical field [0001] The invention relates to the technical field of establishment and analysis of vehicle operating conditions, in particular to a method for extracting vehicle kinematics segments, a method for analyzing vehicle operating conditions and corresponding devices. Background technique [0002] The effective establishment and analysis of vehicle kinematics segments is of great significance for the scientific control and reasonable prediction of vehicle energy consumption in the current development process, and can also provide solutions for solving the "mileage anxiety" problem of new energy vehicles. In the future, the automotive industry will enter the era of intelligent networking, and accurate kinematic segment extraction methods can provide a solid foundation for path planning and decision-making. [0003] The traditional vehicle kinematics fragment extraction method is limited to the simple extraction of the vehicle's speed, acceleration, mileage, time an...

AI Technical Summary

Problems solved by technology

[0003] The traditional vehicle kinematics fragment extraction method is limited to the simple extraction of the vehicle's speed, acceleration, mileage, time and other information in the past period of time. On the one hand, the extracted parameters may not truly and perfectly reflect the driving characteristics of the vehicle in the past time. " The concept of "a period of time" is not an analysis of numerical characteristics but a general reference; on the other hand, the extracted information is only a simple expansion of the database, and the automatic acquisition and analysis of data cannot be realized after the amount of data increases, which has great limitations sex

In addition, in the existing technology, a fixed time interval (for example, 10 minutes of data extracted as a segment) is often used to define a kinematic segment. This method cuts off a complete driving cycle abruptly, which may cause incomplete and relevant information. lack of sex

In addition, for the parameters extracted from the kinematics segment, how to select the appropriate characteristic parameters for analysis is also an urgent problem to be solved, because if there are too many characteristic parameters, it will cause a large amount of calculation, and the description ability of the parameters is different, which is very easy to waste the amount of calculation ; If the characteristic parameters are too few, the actual kinematic characteristics cannot be vividly described, and incomplete expression will cause data shortage in subsequent energy consumption analysis

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