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Assessment of Energy Consumption and Range in Electric Vehicles with High Efficiency HVAC Systems Based on the Tesla Expander
Technical Paper
2019-24-0244
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
Battery electric vehicles (BEVs) are considered one of the most promising solution to improve the sustainability of the transportation sector aiming at a progressive reduction of the dependence on fossil fuels and the associated local pollutants and CO2 emissions.
Presently, the major technological obstacle to a large scale diffusion of BEVs, is the fairly low range, typically less than 300 km, as compared to classical gasoline and diesel engines. This limit becomes even more critical if the electric vehicle is operated in severe weather conditions, due to the additional energy consumption required by the cabin heating, ventilating, and air-conditioning (HVAC).
The adoption of vapor-compression cycle, either in heat pump or refrigerator configuration, represents the state-of-the-art technology for HVAC systems in vehicles. Such devices typically employ an expansion valve to abruptly reduce the pressure causing the flash evaporation of the working fluid. This component, although necessary to provide the cooling effect, is also responsible of a significant exergy loss, which reduces the efficiency of the thermodynamic cycle.
In this paper we study the possible benefits in terms of energy saving and consequent increase of the driving range, that can be obtained in electric vehicles that adopt a high efficiency HVAC system, where the Tesla turbine replaces the classical expansion valve in order to recover part of the exergy typically lost by the working fluid in the expansion phase.
First, an off-design thermodynamic model was developed to assess the performance of the proposed HVAC system as function of the ambient temperature. Then, the calculated COP curves were implemented in an in-house Matlab code based on Nissan Leaf design data. Simulations are carried out considering various reference driving cycles showing that this solution may result in a potential increase of the electric vehicle range up to 5%.
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Authors
- Paolo Iora - University of Brescia
- Alberto Cassago - University of Brescia
- Costante Invernizzi - University of Brescia
- Alessandro Copeta - University of Brescia
- Gioele Di Marcoberardino - University of Brescia
- Stefano Uberti - University of Brescia
- Daniele Fiaschi - University of Florence
- Lorenzo Talluri - University of Florence
- Laura Tribioli - University of Rome Niccolò Cusano
Topic
Citation
Iora, P., Cassago, A., Invernizzi, C., Copeta, A. et al., "Assessment of Energy Consumption and Range in Electric Vehicles with High Efficiency HVAC Systems Based on the Tesla Expander," SAE Technical Paper 2019-24-0244, 2019, https://doi.org/10.4271/2019-24-0244.Data Sets - Support Documents
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References
- Fiori , C. , Ahn , K. , and Rakha , H.A. Power-Based Electric Vehicle Energy Consumption Model: Model Development and Validation Applied Energy 168 257 268 2016
- Ehsani , M. , Gao , Y. , and Emadi , A. Modern Electric, Hybrid Electric, and Fuel Cell Vehicles: Fundamentals, Theory, and Design Second Edition CRC Press 2010
- Iora , P. and Tribioli , L. Effect of Ambient Temperature on Electric Vehicles’ Energy Consumption and Range: Model Definition and Sensitivity Analysis Based on Nissan Leaf Data World Electric Vehicle Journal 2019 10 2 2019 10.3390/wevj10010002
- Tribioli , L. , Cozzolino , R. , Chiappini , D. , and Iora , P. Influence of Fuel Type on the Performance of a Plug-in Fuel Cell/Battery Hybrid Vehicle with on-Board Fuel Processing SAE Technical Paper 2017-24-0174 2017 10.4271/2017-24-0174
- Tribioli , L. , Cozzolino , R. , Chiappini , D. , and Iora , P. Energy Management of a Plug-in Fuel Cell/Battery Hybrid Vehicle with on-Board Fuel Processing Applied Energy 184 2016 140 154 2016
- Iora , P. , Thaer , M. , Chiesa , P. , and Brandon , N.P. A Novel System for the Production of Pure Hydrogen from Natural Gas Based on SOFC-SOEC Technology International Journal of Hydrogen Energy 35 12680 12687 2010
- Rizalino , J. , Reyes , M.D. , Parsons , R.V. , and Hoemsen , R. Winter Happens: The Effect of Ambient Temperature on the Travel Range of Electric Vehicles IEEE Transactions on Vehicular Technology 65 6 2016
- Maia , R. , Silva , M. , Araújo , R. , and Nunes , U. Electrical Vehicle Modeling: A Fuzzy Logic Model for Regenerative Braking Expert Systems with Applications 42 8504 8519 2015
- Fayazbakhsh , M.A. and Bahrami , M. Comprehensive Modeling of Vehicle Air Conditioning Loads Using Heat Balance Method SAE Technical Paper 2013-01-1507 2013 10.4271/2013-01-1507
- Bellocchi , S. , Guizzi , G.L. , Manno , M. , Salvatori , M. et al. Reversible Heat Pump HVAC System with Regenerative Heat Exchanger Applied Thermal Engineering 129 2018 290 305 2018
- ASHRAE Handbook of Fundamental, American Society of Heating, Refrigerating, and Air Conditioning Atlanta, GA 1988
- Zhang , Z. , Li , W. , Zhang , C. , and Chen , J. Climate Control Loads Prediction of Electric Vehicles Applied Thermal Engineering 110 2017 1183 1188 2017
- Cassago , A. 2019
- Talluri , L. , Fiaschi , D. , Neri , G. , and Ciappi , L. Design and Optimization of a Tesla Turbine for ORC Applications Applied Energy 226 2018 300 319 2018
- Ciappi , L. , Fiaschi , D. , Niknam , P.H. , and Talluri , L. Computational Investigation of the Flow inside a Tesla Turbine Rotor Energy 173 207 217 2019 2019
- Spezia , R.F. , Traverso , A. , Barberis , S. , Larosa , L. et al. 2018
- Sciarretta , L.S. et al. A Control Benchmark on the Energy Management of a Plug-In Hybrid Electric Vehicle Control Engineering Practice 29 287 298 2014 10.1016/j.conengprac.2013.11.020