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Summary & Details

Commercial Vehicle Predictive Cruise Control Algorithm Based on Dynamic Programming

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Format: PDF

Price: Non-members (tax incl.)：￥1,100 Members (tax incl.)：￥880

Publication code: 20214366

Paper/Info type: Other International Conferences

No.I1.2

Pages: 1-6(Total 6 p)

Date of publication: May 2021

Publisher: JSAE

Language: English

Event: International Electric Vehicle Technology Conference EVTeC 2021 [Online Meeting]

Detailed Information

Category(E)	Energy Transmission Systems to Vehicles and Global Warming II
Author(E)	1) Ding Yiran, 2) Wang Yuhai, 3) Hu Jianlong
Affiliation(E)	1) Jilin University, 2) Jilin University, 3) Jilin University
Abstract(E)	The algorithm in this paper is aimed at commercial vehicles driving on composite roads including slopes. During the driving process, the ADAS map obtains the slope information of the road ahead. Based on the principle of dynamic programming, a predictive cruise algorithm for economical driving on a ramp is designed, the torque is controlled by VCU. With fuel consumption and driving time cost as the system cost, the economical vehicle driving speed curve of a section of road ahead is obtained. The research results show that the predictive cruise algorithm can avoid the fuel waste caused by rapid acceleration during the uphill process, and make full use of the gravitational potential energy in the downhill process to be converted into kinetic energy for acceleration, effectively reducing fuel consumption.

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