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

Nader, Wissam Bou; Cheng, Yuan-Bin; Nault, Emmanuel; Reine, Alexandre; Wakim, Samer; Kabalan, Bilal; Nemer, Maroun

doi:10.1177/0954407019890160

Cited by 5 publications

(4 citation statements)

References 47 publications

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“…But at the same time, the series hybrid technology needs to convert mechanical energy into electrical energy (engine→ generator→ battery), and then convert electrical energy into mechanical energy (battery→ traction) [4]. Because it needs two energy conversions, the overall efficiency will be relatively low.…”

Section: Classification Of Mainstream Hybrid Technology 21series Hybr...mentioning

confidence: 99%

New Pattern of China's Passenger Car Market Brought by China's Mainstream Hybrid Technology

Ni¹,

Gao²

2022

Proceedings of the International Conference on Information Economy, Data Modeling and Cloud Computing, ICIDC 2022, 17-19 June 2

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In 2022, China's hybrid technology has witnessed a blowout growth and development, showing a state of fierce competition. After the hybrid vehicle represented by Li one has been favoured by many consumers, many Chinese automobile brands have joined the battlefield of hybrid vehicles. BYD's DMI, Great Wall Motor's Lemon Hybrid DHT, Chery's KunPeng Power and Geely's Raytheon Hybrid appeared one after another, breaking the hybrid vehicle market monopolized by Japanese hybrid technology. Using qualitative research method, this paper briefly analyzes the working principle and advantages of mainstream hybrid technology in China in recent two years, and looks forward to the future of hybrid vehicles, especially plug-in hybrid vehicles. The study found that in the next few years, the market share of hybrid vehicles dominated by Chinese independent brands will continue to grow, bringing a new pattern of China's passenger car market.

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Section: Classification Of Mainstream Hybrid Technology 21series Hybr...mentioning

confidence: 99%

New Pattern of China's Passenger Car Market Brought by China's Mainstream Hybrid Technology

Ni¹,

Gao²

2022

Proceedings of the International Conference on Information Economy, Data Modeling and Cloud Computing, ICIDC 2022, 17-19 June 2

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“…On the other hand, DP optimizes the two discussed variables while respecting the machine's constraints. 55 The combined GA and DP algorithms will continue to iterate until an optimal solution, and associated control sequences are obtained. This process is illustrated in Figure 13.…”

Section: Powertrain Setup and Components Sizingmentioning

confidence: 99%

Stirling system optimization for series hybrid electric vehicles

Ghanem

Gereige

Nader

et al. 2021

Proceedings of the Institution of Mechanical Engineers, Part D:

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There have been many studies conducted to replace the conventional internal combustion engine (ICE) with a more efficient engine, due to increasing regulations over vehicles’ emissions. Throughout the years, several external combustion engines were considered as alternatives to these traditional ICEs for their intrinsic benefits, among which are Stirling machines. These were formerly utilized in conventional powertrains; however, they were not implemented in hybrid vehicles. The purpose of this study is to investigate the possibility of implementing a Stirling engine in a series hybrid electric vehicle (SHEV) to substitute the ICE. Exergy analysis was conducted on a mathematical model, which was developed based on a real simple Stirling, to pinpoint the room for improvements. Then, based on this analysis, other configurations were retrieved to reduce exergy losses. Consequently, a Stirling-SHEV was modeled, to be integrated as auxiliary power unit (APU). Hereafter, through an exergo-technological detailed selection, the best configuration was found to be the Regenerative Reheat two stages serial Stirling (RRe-n2-S), offering the best efficiency and power combination. Then, this configuration was compared with the Regenerative Stirling (R-S) and the ICE in terms of fuel consumption, in the developed SHEV on the WLTC. This was performed using an Energy Management Strategy (EMS) consisting of a bi-level optimization technique, combining the Non-dominated Sorting Genetic Algorithm (NSGA) with the Dynamic Programming (DP). This arrangement is used to diminish the fuel consumption, while considering the reduction of the APU’s ON/OFF switching times, avoiding technical issues. Results prioritized the RRe-n2-S presenting 12.1% fuel savings compared to the ICE and 14.1% savings compared to the R-S.

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“…On the other side, many possible turbogenerator thermodynamics architectures can be integrated into the SHEV [9,10]. Some integrate a recuperator to increase the efficiency and benefits from the exhaust gas high temperature to preheat the combustion chamber inlet air [3].…”

Section: Introductionmentioning

confidence: 99%

“…For this reason, the regenerative cycle got the highest interest and researches due to its good efficiency and its low complexity [4,8]. However, the regenerative cycle suffers from low net specific work leading to a high air mass flow rate [10] which consequently increases its size and weight. For this reason, recent studies show that the intercooled regenerative reheated cycle solves the problem of low net specific work encountered in the regenerative cycle and it had high efficiency and a better power to weight ratio [11,12].…”

Section: Introductionmentioning

confidence: 99%