Vehicle quality estimation method considering gear shifting and road slope factors

Abstract

The invention discloses a vehicle quality estimation method considering gear shifting and road slope factors. The vehicle quality estimation method comprises the following steps that 1, data are collected, specifically, (11), the vehicle driving state data are collected through a data collecting device, and (12), parameters required by a model are calculated and obtained by combining vehicle intrinsic parameters with the vehicle driving state data; 2, based on the obtained vehicle driving state data, a vehicle longitudinal dynamic model is established; 3, a vehicle quality estimation model considering the gear shifting factor is established; 4, a transmission system mechanical efficiency estimation model is established, and the transmission system mechanical efficiency estimation model and the vehicle quality estimation model which considers the gear shifting factor and is provided in the third step jointly form a vehicle quality estimation model which considers the gear shifting and road slope factors simultaneously; 5, the use condition of a vehicle quality real-time estimation system is determined; and 6, the collected vehicle driving state data and relevant model parameters are input into the vehicle quality real-time estimation system to estimate the real-time vehicle quality.

Description

technical field [0001] The invention relates to a method for estimating vehicle quality, in particular to a method for estimating vehicle quality considering gear shifting and road gradient factors. Background technique [0002] Real-time estimation of vehicle dynamics model parameters is the basis of vehicle control, and vehicle quality parameters are important parameters in vehicle dynamics models. Accurate and real-time vehicle mass estimation parameters can effectively improve the performance of vehicle active safety systems, such as electronic stability control systems (ESP) relies on vehicle quality parameters to calculate the side slip angle and yaw angle of the center of mass in real time, so as to realize the control of the lateral slip of the vehicle. At the same time, studies have shown that adjusting the shift schedule according to real-time changes in quality parameters can save fuel by about 2.62%-4.86%. Therefore, accurate estimation of vehicle mass parameter...

AI Technical Summary

Problems solved by technology

[0003] In the existing literature, the methods for estimating vehicle quality parameters can be divided into two categories. One is the sensor-based quality estimation method. This method needs to install corresponding sensors in the vehicle, which takes up space in the vehicle and improves the efficiency. The production cost of the vehicle is difficult to meet the actual application requirements; the other is the vehicle quality estimation method based on the vehicle CAN bus data, which is based on the vehicle longitudinal dynamics model and does not require additional sensors, which has good application convenience

However, there is inevitably a certain slope on the road on which the vehicle actually travels. In the vehicle longitudinal dynamics model, there is a certain coupling relationship between the slope and the vehicle mass. If the influence of the road slope is not considered in the quality estimation process, the quality estimation will inevitably be reduced. At the same time, because the vehicle needs to shift gears frequently during normal driving, the dynamic state of the vehicle during the gear shifting process cannot be described by the longitudinal dynamics of the vehicle, and the conversion coefficient of the rotating mass of the longitudinal dynamics model of the vehicle before and after the shifting will change changes, resulting in large deviations in the vehicle mass estimation results after the shift behavior occurs, which seriously affects the vehicle mass estimation results, thereby reducing the accuracy of the vehicle mass estimation

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