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Scientific paper - Original scientific paper
Static Model-Based Optimization and Multi-Input Optimal Control of Automatic Transmission Upshift during Inertia Phase
Vehicles, 5 (2023), 1; 177-202. https://doi.org/10.3390/vehicles5010011
Cvok, Ivan; Deur, Joško; Hihlik, Mislav; Zhang, Yijing; Ivanovic, Vladimir; Fujii, Yuji

Institutional repository: Repository of Faculty of Mechanical Engineering and Naval Architecture University of Zagreb

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Cvok, I., Deur, J., Hihlik, M., Zhang, Y., Ivanovic, V. & Fujii, Y. (2023). Static Model-Based Optimization and Multi-Input Optimal Control of Automatic Transmission Upshift during Inertia Phase. Vehicles, 5. (1), 177-202. doi: 10.3390/vehicles5010011

Cvok, Ivan, et al. "Static Model-Based Optimization and Multi-Input Optimal Control of Automatic Transmission Upshift during Inertia Phase." Vehicles, vol. 5, no. 1, 2023, pp. 177-202. https://doi.org/10.3390/vehicles5010011

Cvok, Ivan, Joško Deur, Mislav Hihlik, Yijing Zhang, Vladimir Ivanovic and Yuji Fujii. "Static Model-Based Optimization and Multi-Input Optimal Control of Automatic Transmission Upshift during Inertia Phase." Vehicles 5, no. 1 (2023): 177-202. https://doi.org/10.3390/vehicles5010011

Cvok, I., et al. (2023) 'Static Model-Based Optimization and Multi-Input Optimal Control of Automatic Transmission Upshift during Inertia Phase', Vehicles, 5(1), pp. 177-202. doi: 10.3390/vehicles5010011

Cvok I, Deur J, Hihlik M, Zhang Y, Ivanovic V, Fujii Y. Static Model-Based Optimization and Multi-Input Optimal Control of Automatic Transmission Upshift during Inertia Phase. Vehicles [Internet]. 2023 February 07 [cited 2024 July 13];5(1):177-202. doi: 10.3390/vehicles5010011

I. Cvok, J. Deur, M. Hihlik, Y. Zhang, V. Ivanovic and Y. Fujii, "Static Model-Based Optimization and Multi-Input Optimal Control of Automatic Transmission Upshift during Inertia Phase", Vehicles, vol. 5, no. 1, pp. 177-202, February 2023. [Online]. Available at: https://urn.nsk.hr/urn:nbn:hr:235:939322. [Accessed: 13 July 2024]

Metadata
Title (english)Static Model-Based Optimization and Multi-Input Optimal Control of Automatic Transmission Upshift during Inertia Phase
AuthorIvan Cvok
AuthorJoško Deur
AuthorMislav Hihlik
AuthorYijing Zhang
AuthorVladimir Ivanovic
AuthorYuji Fujii
Author's institutionUniversity of Zagreb
Faculty of Mechanical Engineering and Naval Architecture
(Department of Robotics and Production System Automation)
(Chair of Engineering Automation)
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Mechanical Engineering
Abstract (english)
Step-ratio automatic transmission upshift performance can be improved by modulating the off-going (OFG) clutch during the inertia phase. In this paper, a static powertrain performance model is derived and applied for the purpose of numerically efficient, multi-objective shift control parameter optimization for the inertia phase. The optimization is aimed at finding the optimal node parameters for simplified, piecewise linear, open-loop profiles of oncoming (ONC) clutch, OFG clutch, and engine torque reduction control variables. The performance indices, i.e., the optimization objectives, include shift comfort, clutch thermal loss, and shift time. The optimization results in 3D Pareto optimal frontiers, which are then analyzed and compared with those obtained by using the previously developed, nonlinear model-based, genetic algorithm optimization tool. The derived method is employed in order to develop a static model-based predictive control (S-MPC) strategy, which commands ONC clutch torque control input while retaining open-loop controls for engine and OFG clutch control inputs. The S-MPC strategy aims at providing the prespecified shift time, while the shift time accuracy is relaxed to some extent by using a control input dead zone element to avoid chattering effect. The S-MPC system performance is verified through simulation and compared with the genetic algorithm benchmark. The simulation results demonstrate that the S-MPC strategy approaches the benchmark performance.
Keywords (english)
Languageenglish
Publication typeScientific paper - Original scientific paper
Publication statusPublished
Peer reviewPeer review - international
Publication versionPublished version
Journal titleVehicles
Numberingvol. 5, no. 1, pp. 177-202
p-ISSN2624-8921
DOIhttps://doi.org/10.3390/vehicles5010011
URN:NBNurn:nbn:hr:235:939322
Publication2023-02-07
Document URLhttps://www.mdpi.com/2624-8921/5/1/11
Type of resourceText
Access conditionsOpen access
Terms of useLicence Attribution 4.0 International (CC BY 4.0) icon
Created on2024-07-05 10:48:21