11 citations · 33 across the 9 of their papers we have counts for
4 papers · 1 filter
Sensitivity analysis of a mean-value exergy-based internal combustion engine model
Gabriele Pozzato, Denise Rizzo, Simona Onori
In this work, we conduct a sensitivity analysis of the mean-value internal combustion engine exergy-based model, recently developed by the authors, with respect to different drivin…
Mean-value exergy modeling of internal combustion engines: characterization of feasible operating regions
Gabriele Pozzato, Denise Rizzo, Simona Onori
In this paper, a novel mean-value exergy-based modeling framework for internal combustion engines is developed. The characterization of combustion irreversibilities, thermal exchan…
Exergy-based modeling framework for hybrid and electric ground vehicles
Federico Dettù, Gabriele Pozzato, Denise M. Rizzo +1
Exergy, or availability, is a thermodynamic concept representing the useful work that can be extracted from a system evolving from a given state to a reference state. It is also a…
Safe Learning Reference Governor: Theory and Application to Fuel Truck Rollover Avoidance
Kaiwen Liu, Nan Li, Ilya Kolmanovsky +2
This paper proposes a learning reference governor (LRG) approach to enforce state and control constraints in systems for which an accurate model is unavailable, and this approach e…