CN-116061944-B - Gear determining method, equipment, storage medium and device

CN116061944BCN 116061944 BCN116061944 BCN 116061944BCN-116061944-B

Abstract

The invention discloses a gear determining method, equipment, a storage medium and a device, wherein the method comprises the steps of classifying the gradient of a current road, reconstructing the gradient of the road to be processed according to the classification result, and obtaining the gradient of the target road; and obtaining the optimal gear according to the gradient of the target road and the maximum climbing gradient corresponding to each gear. According to the invention, the current road is divided into different road type sections, if the road type belongs to the road gradient type, the gradient angle of the road gradient type is reconstructed to obtain the target road gradient, the gradient of the target road is compared with the maximum climbing gradient corresponding to each gear, and the gear with the minimum fuel consumption is obtained as the optimal gear to run, so that the situation that the gear is not matched with the gear required by the actual road condition and the oil consumption is increased due to frequent gear shifting when the vehicle runs on the gradient road is avoided.

Inventors

LIANG LILI
YANG LEIGUANG
QIN XIONGYAN
LONG YUNXIANG
LI CHAO
WANG SHANCHAO
SONG PING
WEI HONGQING

Assignees

东风柳州汽车有限公司

Dates

Publication Date: 20260505
Application Date: 20221226

Claims (8)

1. A gear determination method, characterized in that the gear determination method comprises the steps of: Classifying the gradient of the current road, and reconstructing the gradient of the road to be processed according to the classification result to obtain the gradient of the target road; Obtaining an optimal gear according to the gradient of the target road and the maximum climbing gradient corresponding to each gear; The step of classifying the gradient of the current road, reconstructing the gradient of the road to be processed according to the classification result, and obtaining the gradient of the target road comprises the following steps: classifying the gradient of the current road according to a preset gradient interval; Merging the roads with continuous gradients according to the classification result, and reconstructing the road gradient according to the merging result to obtain the gradient of the target road; The slope reconstruction formula is as follows: ; Wherein, the Indicating the gradient of the slope after the reconstruction, Indicating the cumulative value of the gradient height, Representing a slope span cumulative value; the step of classifying the gradient of the current road according to the preset gradient interval comprises the following steps: Storing the road gradient, the distance of the road gradient, the gradient span and the gradient height in a preset range into a road gradient array, a gradient distance array, a gradient span array and a gradient height array respectively; And classifying the gradient of the current road according to the road gradient array, the gradient distance array, the gradient span array, the gradient height array and a preset threshold value.
2. The gear determination method according to claim 1, wherein the step of obtaining the optimal gear according to the gradient of the target road and the maximum climbing gradient corresponding to each gear includes: comparing the gradient of the target road with the maximum climbing gradient corresponding to each gear; And when the maximum climbing gradient is greater than the gradient of the target road, taking the highest gear corresponding to the maximum climbing gradient as the optimal gear.
3. The gear determination method according to claim 2, wherein after the step of obtaining the optimal gear according to the gradient of the target road and the maximum climbing gradient corresponding to each gear, further comprises: when the vehicle runs to the target road, calling a transfer controller according to the zone bit; Storing an accelerator opening value and an engine rotating speed under the optimal gear to the transfer controller, and fitting out an accelerator opening percentage and a target engine rotating speed through the transfer controller; and determining the optimal gear of the accelerator opening percentage and the target engine speed so as to enable the vehicle to run in the optimal gear.
4. A gear determination method according to any one of claims 1 to 3, wherein after the step of classifying the gradient of the current road according to the road gradient array, the gradient distance array, the gradient span array, the gradient height array, and a preset threshold value, further comprising: when the current road is a highway and is a non-ramp road section, current traffic information is acquired from a road network; Calculating the hundred kilometers of fuel quantity of the vehicle running on the expressway at a constant speed; determining an optimal gear of the vehicle according to the curve of the hundred kilometers of fuel quantity and the current traffic information; wherein, hundred kilometers fuel oil amount calculation formula is: ; Where b represents the fuel consumption rate, p represents the fuel density, g represents the gravitational acceleration, Which is indicative of the power of the engine, Indicating the vehicle speed.
5. A gear determination method according to any one of claims 1 to 3, wherein after the step of classifying the gradient of the current road according to the road gradient array, the gradient distance array, the gradient span array, the gradient height array, and a preset threshold value, further comprising: When the current road is an urban road or a general road, acquiring the speed of a traffic participant from a road network, wherein the current speed of the vehicle is the minimum safe distance between the vehicle and the traffic participant; Acquiring the relative distance between the current vehicle and the traffic participant according to the radar of the vehicle; Acquiring the relative speed of the traffic participant and the current vehicle speed; and according to the relative speed, the minimum safety distance and the relative distance are used for predictively recommending and controlling the vehicle speed.
6. A gear determination device comprising a memory, a processor and a gear determination program stored on the memory and executable on the processor, which gear determination program, when executed by the processor, implements the steps of the gear determination method according to any one of claims 1 to 5.
7. A storage medium having stored thereon a gear determination program which, when executed by a processor, implements the steps of the gear determination method according to any one of claims 1 to 5.
8. The gear determining device is characterized by comprising a gradient acquisition module and a gear determining module; The gradient acquisition module classifies gradients of the current roads, and reconstructs the gradient of the to-be-processed road according to classification results to obtain the gradient of the target road; the gear determining module is used for obtaining an optimal gear according to the gradient of the target road and the maximum climbing gradient corresponding to each gear; the gradient acquisition module is also used for classifying the gradient of the current road according to a preset gradient interval, merging the roads with continuous gradient according to the classification result, and reconstructing the road gradient according to the merging result to obtain the gradient of the target road; The slope reconstruction formula is as follows: ; Wherein, the Indicating the gradient of the slope after the reconstruction, Indicating the cumulative value of the gradient height, Representing a slope span cumulative value; The gradient acquisition module is further used for respectively storing the road gradient, the distance of the road gradient, the gradient span and the gradient height in a preset range into a road gradient array, a gradient distance array, a gradient span array and a gradient height array, and classifying the gradient of the current road according to the road gradient array, the gradient distance array, the gradient span array, the gradient height array and a preset threshold value.

Description

Gear determining method, equipment, storage medium and device Technical Field The present invention relates to the field of automotive technologies, and in particular, to a gear determining method, device, storage medium, and apparatus. Background At present, the intelligent network combined commercial vehicle is correspondingly provided with a radar, an intelligent camera, wireless communication and a high-precision map, and the intelligent driving to a certain extent can be realized by combining functional integrated hardware and software, so that the comfort and driving safety of a driver are improved, and meanwhile, the oil consumption of the vehicle can be reduced. However, when the automatic transmission commercial vehicle is driven to travel on an uphill road, the gear shifting gear is not completely matched with the gear required by the current actual situation when the automatic transmission commercial vehicle travels on the uphill road, so that the fuel consumption is increased, and due to the habit of a driver, frequent gear shifting and accelerator stepping suddenly can also be caused when the automatic transmission commercial vehicle travels on the uphill road. The foregoing is provided merely for the purpose of facilitating understanding of the technical solutions of the present invention and is not intended to represent an admission that the foregoing is prior art. Disclosure of Invention The invention mainly aims to provide a gear determining method, equipment, a storage medium and a device, which aim to solve the technical problem of increased oil consumption caused by unmatched gear shifting and frequent gear shifting required by actual road conditions when driving on a gradient road. In order to achieve the above object, the present invention provides a gear determination method including the steps of: Classifying the gradient of the current road, and reconstructing the gradient of the road to be processed according to the classification result to obtain the gradient of the target road; And obtaining the optimal gear according to the gradient of the target road and the maximum climbing gradient corresponding to each gear. The step of classifying the gradient of the current road, reconstructing the gradient of the road to be processed according to the classification result, and obtaining the gradient of the target road comprises the following steps: classifying the gradient of the current road according to a preset gradient interval; And merging the roads with continuous gradients according to the classification result, and reconstructing the road gradient according to the merging result to obtain the gradient of the target road. Optionally, the step of obtaining the optimal gear according to the gradient of the target road and the maximum climbing gradient corresponding to each gear includes: comparing the gradient of the target road with the maximum climbing gradient corresponding to each gear; And when the maximum climbing gradient is greater than the gradient of the target road, taking the highest gear corresponding to the maximum climbing gradient as the optimal gear. Optionally, after the step of obtaining the optimal gear according to the gradient of the target road and the maximum climbing gradient corresponding to each gear, the method further includes: when the vehicle runs to the target road, calling a transfer controller according to the zone bit; Storing an accelerator opening value and an engine rotating speed under the optimal gear to the transfer controller, and fitting out an accelerator opening percentage and a target engine rotating speed through the transfer controller; and determining the optimal gear of the accelerator opening percentage and the target engine speed so as to enable the vehicle to run in the optimal gear. Optionally, the step of classifying the gradient of the current road according to the preset gradient interval includes: Storing the road gradient, the distance of the road gradient, the gradient span and the gradient height in a preset range into a road gradient array, a gradient distance array, a gradient span array and a gradient height array respectively; And classifying the gradient of the current road according to the road gradient array, the gradient distance array, the gradient span array, the gradient height array and a preset threshold value. Optionally, after the step of classifying the gradient of the current road according to the road gradient array, the gradient distance array, the gradient span array, the gradient height array and the preset threshold value, the method further comprises: when the current road is a highway and is a non-ramp road section, current traffic information is acquired from a road network; Calculating the hundred kilometers of fuel quantity of the vehicle running on the expressway at a constant speed; determining an optimal gear of the vehicle according to the curve of the hundred kilometers of fuel quantity and t