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Adaptive Model Predictive Control for Vehicle Route Planning

A vehicle model and vehicle technology, applied in electrical control, control devices, vehicle components, etc., can solve problems such as loss of model resolution, interference amount resolution, etc., to reduce computing resources and improve optimization efficiency.

Active Publication Date: 2019-09-06
FORD GLOBAL TECH LLC
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Therefore, although a short time domain with a low sampling frequency may reduce the number of inputs and thereby optimize, model resolution as well as disturbance volume resolution may be lost in the process

Method used

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  • Adaptive Model Predictive Control for Vehicle Route Planning
  • Adaptive Model Predictive Control for Vehicle Route Planning
  • Adaptive Model Predictive Control for Vehicle Route Planning

Examples

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Embodiment Construction

[0017] The following description relates to systems and methods for determining an optimal torque distribution for a given vehicle with a known amount of disturbance along a route. A model predictive control problem is formulated to determine optimal engine torque by minimizing vehicle fuel consumption over a time domain. figure 1 An example engine system of a vehicle is shown. figure 2 An example configuration of a vehicle driveline is shown. exist image 3 The block diagram shown in shows an MPC problem constructed from the input and output of an example vehicle model. Figure 4 An example method for determining optimal engine torque to minimize fuel consumption is shown. Figure 5A with Figure 5B The effect of the length of the time domain on the convergence of the MPC solution to the optimal solution is shown.

[0018] figure 1 Illustrated is a schematic diagram of one cylinder of a multi-cylinder engine 10 that may be included in a propulsion system of an automobi...

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Abstract

The present invention relates to adaptive model predictive control for vehicle route planning. Methods and systems are provided for vehicle route planning based on adaptive model predictive control. In one example, the method includes: real-time online recognition of vehicle models based on vehicle inputs and outputs; compressing the input space to increase optimization efficiency; and optimizing route planning based on vehicle model parameters and known road gradients.

Description

[0001] Cross References to Related Applications [0002] This application claims U.S. Provisional Patent Application No. 62 / 058,851, entitled "EFFICIENT ADAPTIVE MODEL PREDICATIVE CONTROL FOR OPTIMALVEHICLE ROUTE PLANNING," filed October 2, 2014 Priority of , the entire contents of which are hereby incorporated by reference for all purposes. technical field [0003] The present description generally relates to methods and systems for vehicle routing planning. Background technique [0004] In advanced route planning, given known disturbances along the route, such as road gradient, traffic, etc., the optimal velocity distribution of vehicles can be calculated. The computation of the optimal speed profile can be formulated as a model predictive control (MPC) problem, where instead of computing the overall speed profile for the total route, the route can be decomposed into time domains of seconds or minutes. In the MPC problem, the optimal input to achieve the desired system o...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): B60W30/188B60W10/02B60W10/06
CPCB60W10/023B60W10/06B60W30/188B60W2050/0031B60W2510/0657B60W2552/15B60W2720/106F02D41/0215F02D41/1406F02D2200/0625F02D2200/701F02D2250/18B60W10/00B60W30/00
Inventor A·M·达马托D·P·菲尔沃J·O·米歇里尼J·T·马伦
Owner FORD GLOBAL TECH LLC
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