Development of Parametric Power Generation and Distribution Subsystem Models at the Conceptual Aircraft Design Stage

Cinar, Gokcin; Mavris, Dimitri N.; Emeneth, Mathias; Schneegans, Alexander; Fefermann, Yann

doi:10.2514/6.2017-1182

Cited by 12 publications

(8 citation statements)

References 14 publications

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“…These models provide enough accuracy needed for the battery management application, while avoiding unnecessary complexities of the electrochemical models [34]. Due to their simplicity, electrical models are widely used for battery management applications, such as the application for electrical vehicles (e.g., [35,36]) and even hybrid propulsion systems for aviation purposes [37,38]. Electrical models have also been used for other applications such as the modeling of renewable energy systems [39].…”

Section: Related Work and Contributionsmentioning

confidence: 99%

Speed profile optimization of catenary-free electric trains with lithium-ion batteries

et al. 2019

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Catenary-free operated electric trains, as one of the recent technologies in railway transportation, has opened a new field of research: speed profile optimization and energy optimal operation of catenary-free operated electric trains. A well-formulated solution for this problem should consider the characteristics of the energy storage device using validated models and methods. This paper discusses the consideration of the lithium-ion battery behavior in the problem of speed profile optimization of catenary-free operated electric trains. We combine the single mass point train model with an electrical battery model and apply a dynamic programming approach to minimize the charge taken from the battery during the catenary-free operation. The models and the method are validated and evaluated against experimental data gathered from the test runs of an actual battery-driven train tested in Essex, UK. The results show a significant potential in energy saving. Moreover, we show that the optimum speed profiles generated using our approach consume less charge from the battery compared to the previous approaches.

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Section: Related Work and Contributionsmentioning

confidence: 99%

Speed profile optimization of catenary-free electric trains with lithium-ion batteries

et al. 2019

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“…There are different types of battery available (such, for example, Li-Ion or Li-S 18 ): in this work it has been decided to use a Li-Ion battery type. A battery is fully defined by a set of five parameters: 13,19,20 • Specific energy density E m , which represents how much energy can be stored in a battery per unit mass (in W h kg −1 );…”

Section: B Batterymentioning

confidence: 99%

Exploration and Sizing of a Large Passenger Aircraft with Distributed Ducted Electric Fans

Sgueglia¹,

Schmollgruber²,

Bartoli³

et al. 2018

2018 AIAA Aerospace Sciences Meeting

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In order to reduce the CO2 emissions, a disruptive concept in aircraft propulsion has to be considered. As studied in the past years hybrid distributed electric propulsion is a promising option. In this work the feasibility of a new concept aircraft, using this technology, has been studied. Two different energy sources have been used: fuel based engines and batteries. The latters have been chosen because of their flexibility during operations and their promising improvements over next years. The technological horizon considered in this study is the 2035: thus some critical hypotheses have been made for electrical components, airframe and propulsion. Due to the uncertainty associated to these data, sensivity analyses have been performed in order to assess the impact of technologies variations. To evaluate the advantages of the proposed concept, a comparison with a conventional aircraft (EIS 2035), based on evolutions of today's technology (airframe, propulsion, aerodynamics) has been made.

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“…After reviewing different conceptual HEP powertrain sizing methods [19,20,22,[38][39][40] it has become evident that no conceptual model exists which is applicable to any powertrain layout, while being sensitive to the different powertrain architectures. Although there are tools which can calculate the power balance across any given powertrain architecture [19,38], this requires the designer to manually specify and link each component of the powertrain, thus making it inappropriate for the very first steps of a clean-sheet design process. Therefore, this paper proposes a method based on a set of predefined powertrain architectures.…”

Section: Hybrid-electric Powertrain Architecturesmentioning

confidence: 99%

A Preliminary Sizing Method for Hybrid-Electric Aircraft Including Aero-Propulsive Interaction Effects

Vries

Brown

Vos

2018

2018 Aviation Technology, Integration, and Operations Conference

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The potential benefits of hybrid-electric propulsion (HEP) have led to an increased interest in this topic over the past decade. One promising advantage of HEP is the distribution of power along the airframe, which enables synergistic configurations with improved aerodynamic and propulsive efficiency. The purpose of this paper is to present a generic sizing method suitable for the first stages of the design process of hybrid-electric aircraft, taking into account the powertrain architecture and associated propulsion-airframe integration effects. To this end, the performance equations are modified to account for aero-propulsive interaction. A powerloading constraint-diagram is used for each component in the powertrain to provide a visual representation of the design space. The results of the power-loading diagrams are used in a HEP-compatible mission analysis and weight estimation to compute the wing area, powerplant size, and takeoff weight. The resulting method is applicable to a wide range of electric and hybrid-electric aircraft configurations and can be used to estimate the optimal power-control profiles. For demonstration purposes, the method is applied a HEP concept featuring leadingedge distributed-propulsion (DP). Three powertrain architectures are compared, showing how the aero-propulsive effects are inlcuded in the model. The results confirm the method is sensitive to top-level HEP and DP design parameters, and indicate an increase in wing loading and power loading enabled by DP.

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Development of Parametric Power Generation and Distribution Subsystem Models at the Conceptual Aircraft Design Stage

Cited by 12 publications

References 14 publications

Speed profile optimization of catenary-free electric trains with lithium-ion batteries

Speed profile optimization of catenary-free electric trains with lithium-ion batteries

Exploration and Sizing of a Large Passenger Aircraft with Distributed Ducted Electric Fans

A Preliminary Sizing Method for Hybrid-Electric Aircraft Including Aero-Propulsive Interaction Effects

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