Vehicle load coefficient estimation method and system

Abstract

The invention discloses a vehicle load coefficient estimation method and system. The method comprises the following steps: acquiring operation parameters of a vehicle; the operation parameters comprise gradient sensor signals and validity thereof; if the gradient sensor signal is invalid, or the gradient sensor signal is valid and the vehicle is in a rotating hub test state, estimating a current load coefficient according to a driving equation; if the signals of the gradient sensor are effective and the vehicle is not in the rotating hub test state, the gradient sensor is used for estimating the current load coefficient. According to the vehicle load coefficient estimation method, under the condition that the existing vehicle cost is not increased, the precision of vehicle load coefficient estimation is improved by distinguishing and recognizing vehicle use scenes and selecting different vehicle load coefficient estimation modes.

Description

technical field [0001] The present invention relates to the technical field of vehicles, and in particular, to a method and system for estimating a load factor of a vehicle. Background technique [0002] Changes in the vehicle load will be affected by changes in the quality of goods and people carried by the vehicle, and changes in the slope of the road surface. Accurately estimate changes in vehicle load, which can be used to correct shift schedules and other control strategies. At present, the vehicle load factor estimation mainly includes the following two calculation methods. [0003] The first is to estimate the vehicle load factor using the vehicle gradient sensor. The larger the gradient, the larger the car load, and the smaller the gradient, the smaller the car load. The problems with this method are: First, over-reliance on the accuracy of the gradient sensor, especially in specific scenarios, such as vehicle sliding, low-speed braking, P or N gear parking scenar...

AI Technical Summary

Problems solved by technology

There are problems with this method: first, excessive reliance on the accuracy of the slope sensor, especially in specific scenarios, such as vehicle slipping, low-speed braking, P or N parking, the vehicle is extremely prone to sensation, causing the slope sensor to The signal fluctuates, causing the estimation of the vehicle load factor to jump; second, when the vehicle is in the hub test state, the slope sensor always fluctuates around zero, and this method is no longer applicable

The problems with this method are: first, the vehicle mass used in the formula in the patent is always a fixed value, while the actual vehicle use process, changes in the weight of passengers and cargo will lead to continuous changes in the mass of the vehicle, resulting in the vehicle load factor can not be It truly reflects the current vehicle load; second, the use of the formula involves many calculation parameters, and the calculation is always carried out during the operation of the vehicle, which results in a large amount of calculation

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