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Summary & Details

Virtual Platform Development for New Control Logic Concept Test and Validation

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Format: PDF

Price: Non-members (tax incl.)：￥6,600 Members (tax incl.)：￥5,280

Paper/Info type: SAE Paper

No.2021-01-1143

Pages: 1-10(Total 10 p)

Date of publication: Sep 2021

Publisher: SAE International

Language: English

Event: SAE Powertrains, Fuels & Lubricants Digital Summit

Detailed Information

Author(E)	1) Shihong Fan, 2) Jason Lee, 3) Yong Sun, 4) Jinho Ha, 5) John Harber
Affiliation(E)	1) Hyundai-Kia America Technical Center Inc, 2) Hyundai-Kia America Technical Center Inc, 3) Hyundai-Kia America Technical Center Inc, 4) Hyundai-Kia America Technical Center Inc, 5) Hyundai-Kia America Technical Center Inc
Abstract(E)	As computer-aided engineering software tools advance, more simulation-based processes are utilized to reduce development time and cost. Traditionally, during the development of a new control algorithm dyno or on-road testing is necessary to validate a new function, however, physical testing is both costly and time consuming. This study introduces a co-simulation platform and discusses its use as an improved method of powertrain control logic development. The simulation platform consists of a dynamic vehicle model, virtual road network and simulated traffic objects. Engineers can utilize Matlab/Simulink along with other programs such as PTV Vissim, Tass Prescan, and AVL Cruise to create an integrated platform capable of testing and validating new control strategies. The structure and configuration of this virtual platform is explained in this paper, and an example use case is demonstrated. A driver model was developed to simulate realistic vehicle inputs. Validation of this new driver model utilized different intersection types, speed limits, traffic signs, and traffic conditions. A smart Engine Start/Stop control algorithm was implemented and tested by using the platform under different real-world driving conditions. It was demonstrated that with a validated driver model, the new virtual platform could be used to test and validate control algorithms under a variety of scenarios.

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