Versmissen, Mats (Eindhoven University of Technolgoy), Willems, Frank (Eindhoven University of Technology), Pearce, Daniel (CMB.TECH)

Gear Shift Optimization for Minimizing CO2 Emissions of a Diesel-Hydrogen Fueled Truck

Scheduled for presentation during the Regular Session "Diagnostics, optimization and control for hydrogen combustion" (MoA1), Monday, June 16, 2025, 11:40−12:00, Kapel

AAC 2025 11th IFAC International Symposium on Advances in Automotive Control, June 15-18, 2025, Eindhoven, Netherlands

This information is tentative and subject to change. Compiled on May 31, 2025

Abstract

This research aims to minimize CO2 emissions of a retro-fitted diesel-hydrogen fueled truck by optimizing the gear shift strategy of its standard sixteen-speed automated manual transmission. The approach involves developing a dynamic programming algorithm aimed at maximizing diesel displacement by hydrogen for a given drive cycle, while taking driveability metrics into account. The developed gear shift strategy controls the gear position and shifts the engine operating region towards a high torque-low engine speed region, more favorable for hydrogen injection. The gear shift optimization is performed for the mono-fuel diesel engine map, serving as a baseline, and for the dual-fuel engine map. The theoretical reduction in CO2 emissions ranged from 1.3% up to 4.6%, depending on the vehicle payload and the drive cycle under consideration. Furthermore, the algorithm is used to generate real-time implementable shift maps designed to maximize dual-fuel efficiency for unknown drive cycles. Implementing the dual-fuel shift maps led to a reduction in CO2 emissions, spanning from 0.8% to 2.6%, in comparison to the mono-fuel optimized shift map. This reduction of 2.6% was observed near the maximum allowable payload of 20 tonnes.