Hybrid vehicle simulation for a turbogenerator-based power-train

Significant research efforts have been invested in the automotive industry on hybrid electrified powertrains in order to reduce the dependence of passenger cars on oil. Electrification of powertrains resulted in a wide range of hybrid vehicle architectures. The fuel consumption of these powertrains strongly relies on the energy converter performance, as well as on the energy management strategy deployed on board. This paper investigates the potential of fuel consumption savings of a series hybrid electric vehicle using a gas turbine as an energy converter instead of the conventional internalcombustion engine. An exergo-technological explicit analysis is conducted to identify the best configuration of the gasturbine system. An intercooled regenerative reheat cycle is prioritized, offering higher efficiency and higher power density than those of other investigated gas-turbine systems. A series hybrid electric vehicle model is developed and powertrain components are sized by considering the vehicle performance criteria. Energy consumption simulations are performed over the Worldwide Harmonized Light Vehicles Test Procedure driving cycle using dynamic programming as the global optimal energy management strategy. A sensitivity analysis is also carried out in order to evaluate the impact of the battery size on the fuel consumption, for self-sustaining and plug-in series hybrid electric vehicle configurations. The results show an improvement in the fuel consumption of 22-25% with the gas turbine as the auxiliary power unit in comparison with that of the internal-combustion engine. Consequently, the studied auxiliary power unit for the gas turbine presents a potential for implementation on series hybrid electric vehicles.

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“…Other papers were published around 20 years ago. [21][22][23][24] A review of these recent and old studies emphasizes the following two gaps.…”

Section: Introductionmentioning

confidence: 99%

Exergo-technological explicit methodology for gas-turbine system optimization of series hybrid electric vehicles

Nader

Mansour

Nemer

et al. 2017

Proceedings of the Institution of Mechanical Engineers, Part D:

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“…The potential of the turbo-generator-based power train for hybrid vehicles has been described. 22 Masding and Bumby 23 described the identification, modeling, and simulation of the drive-train components in a hybrid IC-engine battery electric car. Manzie et al 24 analyzed the fuel consumption of an intelligent-hybrid vehicle.…”

Section: Literature Reviewmentioning

confidence: 99%

A recent review of hybrid automotive systems in Gulf Corporation Council region

Mahroogi

Narayan

2019

Proceedings of the Institution of Mechanical Engineers, Part D:

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A recent turbulence in the oil market, as well as the ever-decreasing stocks of fossil fuels, has led to growth of interest in various alternative technologies like automotive hybrid vehicles. Despite the rapid increase of markets of hybrid-electric vehicles, their scope for the Gulf Corporation Council region still needs to be explored further. Awareness about benefits of using hybrid-electric vehicles is fast spreading in the Gulf Corporation Council region and this has positive impacts both in terms of consumer satisfaction and reduction of environmental pollutants. The major aim of presented work is to explore the benefits of using hybrid vehicle technology in terms of savings in cost and reduction in greenhouse gas emissions. Emissions savings were found to be in a range of 9–13%. Fuel savings per 100 km were in a range of 8–10 L. The presented work discusses various issues related to background, features, and components of hybrid vehicles. Trends in the design, energy management, component sizing, energy costs, greenhouse emissions, fuel economy, and performance of these vehicles have been analyzed. Further conclusions and recommendations have been made about these issues keeping in focus market trends in the Gulf Corporation Council region.

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“…Karvountzis-Kontakiotis et al [12] use 10 consecutive NEDCs to evaluate the MGT performance, while Christodoulou et al [11] consider the average demand of one cycle. Leontopoulos et al [6] determine the test sequence by the range which can be achieved with a given battery and fuel capacity.…”

Section: Introductionmentioning

confidence: 99%