Technological analysis and fuel consumption saving potential of different gas turbine thermodynamic configurations for series hybrid electric vehicles

被引:6
|
作者
Nader, Wissam Bou [1 ,2 ]
Cheng, Yuan [1 ]
Nault, Emmanuel [3 ,4 ]
Reine, Alexandre [5 ]
Wakim, Samer [2 ]
Kabalan, Bilal [1 ,6 ]
Nemer, Maroun [2 ]
机构
[1] Ctr Tech Velizy, PSA Grp, Route Gizy, F-78943 Velizy Villacoublay, Velizy, France
[2] ENSMP, Ctr Efficacite Energet Syst CES, Palaiseau, France
[3] Univ Paris Saclay, ENS Paris Saclay, Paris, France
[4] Univ Paris Saclay, IFP Sch, Paris, France
[5] ENSPM, Rueil Malmaison, France
[6] IFSTTAR, Bron, France
关键词
Gas turbine systems; series hybrid electric vehicle; technological analysis; energy management strategy; non-dominated sorting genetic algorithm; dynamic programming; PRESSURE-DROP CORRELATIONS; HEAT-TRANSFER; GENETIC ALGORITHM; OPTIMAL-DESIGN; FIN; OPTIMIZATION; RECUPERATOR; COMBUSTION; EFFICIENCY;
D O I
10.1177/0954407019890160
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
Gas turbine systems are among potential energy converters to substitute the internal combustion engine as auxiliary power unit in future series hybrid electric vehicle powertrains. Fuel consumption of these auxiliary power units in the series hybrid electric vehicle strongly relies on the energy converter efficiency and power-to-weight ratio as well as on the energy management strategy deployed on-board. This paper presents a technological analysis and investigates the potential of fuel consumption savings of a series hybrid electric vehicle using different gas turbine-system thermodynamic configurations. These include a simple gas turbine, a regenerative gas turbine, an intercooler regenerative gas turbine, and an intercooler regenerative reheat gas turbine. An energetic and technological analysis is conducted to identify the systems' efficiency and power-to-weight ratio for different operating temperatures. A series hybrid electric vehicle model is developed and the different gas turbine-system configurations are integrated as auxiliary power units. A bi-level optimization method is proposed to optimize the powertrain. It consists of coupling the non-dominated sorting genetic algorithm to the dynamic programming to minimize the fuel consumption and the number of switching ON/OFF of the auxiliary power unit, which impacts its durability. Fuel consumption simulations are performed on the worldwide-harmonized light vehicles test cycle while considering the electric and thermal comfort vehicle energetic needs. Results show that the intercooler regenerative reheat gas turbine-auxiliary power unit presents an improved fuel consumption compared with the other investigated gas turbine systems and a good potential for implementation in series hybrid electric vehicles.
引用
收藏
页码:1544 / 1562
页数:19
相关论文
共 38 条
  • [1] Fuel consumption potential of different external combustion gas-turbine thermodynamic configurations for extended range electric vehicles
    Reine, Alexandre
    Nader, Wissam Bou
    ENERGY, 2019, 175 : 900 - 913
  • [2] A method for evaluating the fuel saving potential of different hybrid steering system configurations in heavy commercial vehicles
    Wiesel, Urs
    Schwarzhaupt, Andreas
    Gast, Stefan
    Wirnitzer, Jan
    Frey, Michael
    Gauterin, Frank
    VDI Berichte, 2009, (2068): : 167 - 188
  • [3] A control strategy to minimize fuel consumption of series hybrid electric vehicles
    Barsali, S
    Miulli, C
    Possenti, A
    IEEE TRANSACTIONS ON ENERGY CONVERSION, 2004, 19 (01) : 187 - 195
  • [4] Exergo-technological explicit methodology for gas-turbine system optimization of series hybrid electric vehicles
    Nader, Wissam S. Bou
    Mansour, Charbel J.
    Nemer, Maroun G.
    Guezet, Olivier M.
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART D-JOURNAL OF AUTOMOBILE ENGINEERING, 2018, 232 (10) : 1323 - 1338
  • [5] Statistical analysis of fuel consumption of hybrid electric vehicles in Japan
    Kudoh, Yuki
    Matsuhashi, Keisuke
    Kondo, Yoshinori
    Kobayashi, Shinji
    Moriguchi, Yuichi
    Yagita, Hiroshi
    World Electric Vehicle Journal, 2007, 1 (01): : 142 - 147
  • [6] Analysis on Fuel-Saving Factors of Planetary Hybrid Electric Vehicles
    Zeng X.-H.
    Cui C.
    Song D.-F.
    Li G.-H.
    Dong B.-B.
    Liu C.-L.
    Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology, 2019, 39 (07): : 699 - 705
  • [7] Dynamic Modeling and Fuel Consumption Potential of an Intercooled Regenerative Reheat Gas Turbine Auxiliary Power Unit on Series Hybrid Electric Vehicle
    Nader, Wissam Bou
    Breque, Florent
    Mazloum, Youssef
    Dumand, Clement
    Nemer, Maroun
    JOURNAL OF ENERGY RESOURCES TECHNOLOGY-TRANSACTIONS OF THE ASME, 2020, 142 (01):
  • [8] A Comparison Between Different Hybrid Electric Propulsion System Configurations by Means of Vibrational Analysis and Fuel Consumption
    Niola, Vincenzo
    Fornaro, Enrico
    Spirto, Mario
    Malfi, Pierangelo
    Melluso, Francesco
    ADVANCES IN ITALIAN MECHANISM SCIENCE, VOL 1, IFIT 2024, 2024, 163 : 452 - 460
  • [9] Optimal Fuel Consumption Modelling, Simulation, and Analysis for Hybrid Electric Vehicles
    Minh, Vu Trieu
    Moezzi, Reza
    Cyrus, Jindrich
    Hlava, Jaroslav
    APPLIED SYSTEM INNOVATION, 2022, 5 (02)
  • [10] Onboard Learning-Based Fuel Consumption Optimization in Series Hybrid Electric Vehicles
    Gupta, Rohit
    Kolmanovsky, Ilya V.
    Wang, Yan
    Filev, Dimitar P.
    2012 AMERICAN CONTROL CONFERENCE (ACC), 2012, : 1308 - 1313