- Advanced Combustion Engine Technologies
- Vehicle emissions and performance
- Combustion and flame dynamics
- Electric Vehicles and Infrastructure
- Electric and Hybrid Vehicle Technologies
- Advanced Battery Technologies Research
- Traffic control and management
- Catalytic Processes in Materials Science
- Turbomachinery Performance and Optimization
- Radiative Heat Transfer Studies
- Advancements in Battery Materials
- Biodiesel Production and Applications
- Rocket and propulsion systems research
- Hydraulic and Pneumatic Systems
- Heat Transfer Mechanisms
- Transportation Planning and Optimization
- Heat transfer and supercritical fluids
- Transportation and Mobility Innovations
- Aerodynamics and Fluid Dynamics Research
- Fluid Dynamics and Turbulent Flows
- Computational Fluid Dynamics and Aerodynamics
- Refrigeration and Air Conditioning Technologies
- Real-time simulation and control systems
- Engineering Applied Research
- Combustion and Detonation Processes
Polytechnic University of Turin
2014-2024
Hydrogen-powered mobility is believed to be crucial in the future, as hydrogen constitutes a promising solution make up for non-programmable character of renewable energy sources. In this context, hydrogen-fueled internal combustion engine represents one suitable technical solutions future sustainable mobility. As matter fact, engines suffer from limitations volumetric efficiency due very low density fuel. Consequently, ICEs can reach sufficient torque and power only if supercharging are...
In this work, an online energy management strategy for mild hybrid electric vehicles is developed to minimize the fuel consumption while simultaneously preventing battery overheating.Since hybrids are typically equipped with a passively cooled pack, design needs keep temperature below upper limit, accelerated aging and thermal runaway.To address issue, equivalent minimization (ECMS) approach extended develop real-time capable controller, termed ECMS (Th-ECMS), that sensitive dynamics of can...
Hybrid electric vehicles (HEV) are nowadays proving to be one of the most promising technologies for improvement fuel economy several transportation segments. As far as on-road category is concerned, a wise selection powertrain design needed exploit best energetic performance achievable by HEV. Amongst methodologies developed comparing different hybrid architectures, global optimizers have demonstrated capability leading optimal solutions at expense relevant computational burden. In present...
<div class="section abstract"><div class="htmlview paragraph">Range anxiety in current battery electric vehicles is a challenging problem, especially for commercial with heavy payloads. Therefore, the development of electrified propulsion systems multiple power sources, such as fuel cells, an active area research. Optimal speed planning and energy management, referred to eco-driving, can substantially reduce consumption vehicles, regardless powertrain architecture. Eco-driving...
This paper introduces a novel physics-informed exploration strategy for deep reinforcement learning (DRL)-based energy management system (EMS), specifically targeting the challenge of dealing with constrained action sets. RL-based controllers electrified vehicle systems have faced obstacles stemming from selection infeasible actions, obstructing their practical deployment. The absence mechanism assessing control feasibility prior to application has compounded this issue, primarily due...
The potential of internal EGR (iEGR) and external (eEGR) in reducing the engine-out NOx emissions a heavy-duty diesel engine has been investigated by means refined 1D fluid-dynamic model developed GT-Power environment. is equipped with Variable Valve Actuation (VVA) Geometry Turbocharger (VGT) systems. activity was carried out frame CORE Collaborative Project European Community, VII FP. integrates an innovative 0D predictive combustion algorithm for simulation HRR (heat release rate) based...
Natural gas is a promising alternative fuel for internal combustion engine application due to its low carbon content and high knock resistance.Performance of natural engines further improved if direct injection, turbocharger boost level, variable valve actuation (VVA) are adopted.Also, relevant efficiency benefits can be obtained through downsizing.However, mixture quality resulting from injection has proven problematic.This work aims at developing mono-fuel small-displacement turbocharged...
The present paper provides a contribution to the CFD modelling of reacting flows in IC engines fueled with natural gas. Despite fact that gas has been widely investigated into last decades, literature still lacks reliable models and correlations be exploited so as efficiently support design internal combustion engines. deals development an accurate model, capable capturing effects engine working conditions mixture compositions on process. model is based Extended Coherent Flame Model coupled...
In recent decades, the automotive industry has moved towards development of advanced driver assistance systems to enhance comfort, safety, and energy saving road vehicles. The increasing connection communication between vehicles (V2V) infrastructure (V2I) enables further opportunities for their optimisation allows additional features. Among others, vehicle platooning is coordinated control a set moving at short distance, one behind other, minimise aerodynamic losses, it represents viable...
The target of net-zero emissions set by the 2015 Paris Agreement has strongly commissioned energy production sector to promote decarbonization, renewable sources exploitation, and systems efficiency. In this framework, utilization hydrogen as a long-term carrier great potential. This paper is concerned with combustion characterization in non-premixed gas turbine burner, originally designed for natural gas, when it fed NG-H2 blends featuring content from 0 50% volume. final aim retrofit 40 MW...
This study presents a reinforcement-learning-based approach for energy management in hybrid electric vehicles (HEVs). Traditional methods often fall short simultaneously optimizing fuel economy, passenger comfort, and engine efficiency under diverse driving conditions. To address this, we employed Q-learning-based algorithm to optimize the activation torque variation of internal combustion (ICE). In addition, underwent rigorous parameter optimization process, ensuring its robustness varying...
The transport sector is tackling the challenge of reducing vehicle pollutant emissions and carbon footprints by means a shift to electrified powertrains, i.e., battery electric vehicles (BEVs) plug-in hybrid (PHEVs). However, pose new issues associated with design energy management for efficient use onboard storage systems (ESSs). Thus, strong attention should be devoted ensuring safety operation ESSs. In this framework, dedicated system (BMS) required contemporaneously optimize battery’s...
The combustion propagation and burned-gas expansion processes in a bi-fuel CNG SI engine were characterized by applying newly developed diagnostic tool, order to better understand how these are related the fuel composition, operating variables as well exhaust emissions. tool is based on an original multizone heat-release model that coupled with CAD of containing surface for computation burning speed mean velocity. Furthermore, thermal prompt NO sub-models, embedded code, employed study...
An experimental investigation and a burning-rate analysis have been performed on production 1.4 liter compressed natural gas (CNG) engine fueled with methane-hydrogen blends. The features pent-roof combustion chamber, four valves per cylinder, centrally located spark plug. tests carried out in order to quantify the cycle-to-cycle cylinder-to-cylinder variation. Therefore, has equipped dedicated piezoelectric pressure transducers placed each cylinder by At test point, in-cylinder pressure,...
Powertrain electrification is bound to pave the way for decarbonization process and pollutant emission reduction of automotive sector, strong attention should hence be devoted electrical energy storage system. Within such a framework, lithium-ion battery plays key role in scenario, lifetime due cell degradation during its usage topical challenge. The aim this work estimate state health (SOH) cells with satisfactory accuracy low computational cost. This would allow management system (BMS)...