Turbogenerator Transient Energy Recovery Model

Author:

Petrovich Simon,Ebrahimi Kambiz,Watson Andrew,Mason Byron

Abstract

<div class="section abstract"><div class="htmlview paragraph">Significant exhaust enthalpy is wasted in gasoline turbocharged direct injection (GTDI) engines; even at moderate loads the WG (Wastegate) starts to open. This action is required to reduce EBP (Exhaust Back Pressure). Another factor is catalyst protection, placed downstream turbine. Lambda enrichment is used to perform this. However, the conventional turbine has a temperature drop across it when used for energy recovery.</div><div class="htmlview paragraph">Catalyst performance is critical for emissions, therefore the only location for any additional device is downstream of it. This is a challenge for any additional energy recovery, but a smaller turbine is a design requirement, optimised to work at lower operating pressure ratios.</div><div class="htmlview paragraph">A WAVE model of the 2.0L GTDI engine was adapted to include a TG (Turbogenerator) and TBV (Turbine Bypass Valve) with the TG in a mechanical turbocompounding configuration, calibrated with steady state dynamometer data to estimate drive cycle benefit. The model derived is used in the development of more advanced control system algorithms. Furthermore, transient verification with WAVE-RT in co-simulation is performed on drive cycles (NEDC, WLTP).</div><div class="htmlview paragraph">Analysis includes power and fuel consumption, and an additional knock impact assessment. It is shown on the WLTP that, depending on the calibration, up to 9% FC (Fuel Consumption) reduction is achievable with a 0.03kW thermodynamic power recovery, for a similar controller performance. Hints are given for further controller enhancements.</div><div class="htmlview paragraph">Prototype dynamometer testing or vehicle could be performed to verify design assumptions and simulation results. Electrical turbo-compounding, interfacing to the power-grid, and calibration optimisation, with combined WG and TBV settings is feasible based on this initial work.</div></div>

Publisher

SAE International

Reference17 articles.

1. https://www.consilium.europa.eu/

2. Noor , A. , Puteh , R. , Martinez-Botas , R. , Rahoo , S. et al Technologies for Waste Heat Energy Recovery from Internal Combustion Engine: A Review 2015 10.13140/RG.2.2.14893.90084

3. Nonthakarn , P. , Ekpanyapong , M. , Nontakaew , U. , and Bohez , E. Design and Optimization of an Integrated Turbo-Generator and Thermoelectric Generator for Vehicle Exhaust Electrical Energy Recovery Energies 12 2019 3134 https://doi.org/10.3390/en12163134

4. Xu , Y. , Cui , Y. , Wang , Y. , Wang , P. Simulation Study on Exhaust Turbine Power Generation for Waste Heat Recovery from Exhaust of a Diesel Engine

5. Dahl , J. , Wassén , H. , Santin , O. , Herceg , M. et al. Model Predictive Control of a Diesel Engine with Turbo Compound and Exhaust After-Treatment Constraints IFAC 51 31 2018 349 354 https://doi.org/10.1016/j.ifacol.2018.10.072

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