Work

Semi-Automated Transmission Control for Motorcycle Gearshift: Design, Data-Driven Tuning, and Experimental Validation

Year: 2025

Type: article

Abstract: This brief addresses the gearshifting problem for semi-automated manual transmissions (S-AMTs) in powered two wheelers, a powertrain setup that allows fast and smooth gear shifts with minimal modifications to the traditional manual powertrain layout. We show that with a proper synchronization between the electronic clutch and engine torque, excellent gearshift performance can be obtained, but requires precise parameter calibration. We thus propose the use of a data-driven approach with constrained Bayesian optimization (CBO) to optimize control parameters. The procedure’s effectiveness is demonstrated on a real vehicle, assessing performance in terms of optimality, convergence rate, and repeatability.

Source: IEEE Transactions on Control Systems Technology

DOI: 10.1109/tcst.2025.3633385

Authors: Edoardo Catenaro, Giulio Panzani, Davide Sette, Sergio M. Savaresi

Institution: Politecnico di Milano

Language: English

Topic: Vehicle Dynamics and Control Systems

Subfield: Automotive Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: green

OpenAlex ID: W4416925954

FWCI: 0.493

Cites:

Cited by: 2

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