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Method for optimizing speed running of highway heavy truck

A technology for heavy trucks and highways, applied to vehicle components, input parameters of external conditions, control devices, etc., can solve problems such as single cruise control function, and achieve the effect of reducing driving burden and fuel consumption.

Active Publication Date: 2016-08-17
JILIN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although constant speed cruise can fix the speed of the vehicle at a specific value to keep the vehicle running at a constant speed and achieve the effect of reducing fuel consumption to a certain extent, the speed is not necessarily the best fuel economy speed under the current road conditions. The function of high-speed cruise is too single and there are certain limitations

Method used

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  • Method for optimizing speed running of highway heavy truck
  • Method for optimizing speed running of highway heavy truck
  • Method for optimizing speed running of highway heavy truck

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Embodiment Construction

[0022] The invention provides a method for optimizing the speed of heavy-duty trucks on highways, the method comprising the following steps:

[0023] Step 1. In order to facilitate the analysis and control of the vehicle system, a vehicle longitudinal dynamics model is established according to Newton's second law, ignoring the axle load transfer of the front and rear axles, and a simplified single-degree-of-freedom model is used to characterize the longitudinal dynamics of the vehicle, as shown in figure 1 , and its kinetic equation is:

[0024] m v · = F e n g i n e - F g r a d - F r o l l ...

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Abstract

The invention discloses a method for optimizing speed of a highway heavy truck. The method comprises the following steps: establishing a longitudinal kinetic model of a vehicle, establishing an engine model of the vehicle, and designing a nonlinear model predication controller. A model predication control strategy is adopted, the running fuel economy of the highway heavy truck and restraint of a physical execution mechanism are taken into consideration, a nonlinear model predication control method is applied for optimization so as to obtain the optimal engine torque under current-stage road information, so that the vehicle speed with optimal fuel economy is obtained; according to the requirement of a driver on freight timeliness, the efficiency coefficient of the nonlinear model predication controller is set, so that the relation between the freight timeliness and the fuel economy is balanced, not only can the fuel consumption of the highway heavy truck be effectively reduced, but also the freight timeliness can be ensured, energy consumption is reduced, and emission of greenhouse gases is reduced.

Description

technical field [0001] The invention relates to a method for improving the fuel economy of a heavy truck on an expressway, in particular to a method for optimizing the speed of a heavy truck on an expressway. Background technique [0002] While automobiles bring convenience and speed to people, they also bring enormous pressure to energy supply and environmental protection of countries all over the world. Freight transportation is a core part of the global economy, and the demand for road freight transportation is increasing year by year. However, road transportation accounts for a large proportion of global energy consumption and greenhouse gas emissions, accounting for about 26% of global energy consumption, and highway freight transportation is the main form of road transportation. Therefore, a large number of related researches are devoted to reducing the fuel consumption of highway heavy trucks to improve the fuel economy of road transportation. In order to further re...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): B60W30/18B60W10/06B60W40/06B60W40/105
CPCB60W10/06B60W30/18B60W40/06B60W40/105B60W2520/10B60W2552/00B60W2710/0666Y02T10/40
Inventor 郭洪艳郝宁峰王秋陈虹
Owner JILIN UNIV
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