Several technological challenges delay the adoption of electrified powertrains in the heavy-duty transport sector. For fuel-cell hybrid electric trucks, key issues include slow cold start, reduced cooling power during high ambient temperatures, and uncertainties regarding durability. In addition, the engineers must handle the complexity of the system. In this article, a Matlab/Simulink library is introduced, which has been developed to aid engineers in the design and optimization of energy management systems and strategies of this complex system that consider mechanical, electrochemical, and thermal energy flows. The library is introduced through five example vehicle models, and through case studies that highlight the various kinds of analysis that can be performed using the provided models. All library code is open source, open for commercial use, and runs in Matlab/Simulink without any need for external libraries.

The strive towards cleaner and more efficient combustion engines, driven by legislation and cost, introduces new configurations, as exhaust gas recirculation, turbocharging, and variable valve timi ...

For commercial electric vehicles tasked with heavy-duty freight, fuel cell hybridization is considered as a potential solution for maintaining the driving range and refuelling times of diesel engines. However, with fuel cells and hybridization in general comes a number of technological challenges, of which durability and fuel efficiency—factors depending on a well-performing control strategy—are regarded as critical. Therefore, to facilitate research in fuel cell hybrid vehicle controls, a comprehensive benchmark problem was formulated for a fuel cell electric truck, and was used in a competition at the 2023 IFAC World Congress. Six solutions from universities all over the world were submitted and compared for a number of driving missions. While all solutions were unique, some similarities were found in the various approaches: multi-layered control structures, multi-objective cost functions, and spatial domain formulations. The competition also highlighted the difficulty of the challenge:no solution considered all aspects of the benchmark problem, and most were vulnerable to disturbances. The simulation platform used in the benchmark is available as open source. For researchers and industry professionals in the field of fuel cell vehicle controls, the provided solutions may serve as starting points and inspiration for new developments.