Application of Hybrid-Electric Propulsion to ‘Very Light Jet’ Business Aircraft

The following paper investigates the feasibility of hybrid-electric propulsion (HEP) for a very light jet (VLJ) business aircraft based on predictions of battery performance for the 15-year timeframe to 2040. Given the unique requirements of a range of between 1100 and 2200 km (600 and 1200 nmi) and a cruise speed of around Mach 0.65, this paper utilizes a time-stepping simulation to determine range for a baseline aerodynamic model over combinations of energy hybridization ratios and battery specific energy densities of HE∈[0.0,0.25] and ebat∈[400,1250] Wh/kg for series and parallel architectures. The paper also analyzes fuel and battery energy consumption, battery weight and volume, and finally a typical mission of 1111 km (600 nmi). The results of the paper find that the parallel architecture is better suited to application on very light jets, as it enables a greater maximum range of 1394 km (754 nmi) with a mild energy hybridization of 5% and a battery specific energy density of 1250 Wh/kg for a fixed maximum takeoff weight. Over a typical 1111 km (600 nmi) mission, fuel savings with a parallel architecture are 96 kg (212 lbs) compared to a conventional turbofan, or 7.1% of the total fuel load. Consequently, it is recommended that a hybrid-electric very light jet utilize a mild-hybrid parallel architecture of around 5% energy hybridization and batteries of at least 1250 Wh/kg.

Authors

Institutions

Publication Details

Journal
World Electric Vehicle Journal
Published
2026-03-02
DOI
https://doi.org/10.3390/wevj17030126
Primary Topic
Advanced Aircraft Design and Technologies
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Application of Hybrid-Electric Propulsion to ‘Very Light Jet’ Business Aircraft

Ambar Sarup
World Electric Vehicle Journal
Advanced Aircraft Design and Technologies
article

Application of Hybrid-Electric Propulsion to ‘Very Light Jet’ Business Aircraft

Ambar Sarup
article en

Abstract

The following paper investigates the feasibility of hybrid-electric propulsion (HEP) for a very light jet (VLJ) business aircraft based on predictions of battery performance for the 15-year timeframe to 2040. Given the unique requirements of a range of between 1100 and 2200 km (600 and 1200 nmi) and a cruise speed of around Mach 0.65, this paper utilizes a time-stepping simulation to determine range for a baseline aerodynamic model over combinations of energy hybridization ratios and battery specific energy densities of HE∈[0.0,0.25] and ebat∈[400,1250] Wh/kg for series and parallel architectures. The paper also analyzes fuel and battery energy consumption, battery weight and volume, and finally a typical mission of 1111 km (600 nmi). The results of the paper find that the parallel architecture is better suited to application on very light jets, as it enables a greater maximum range of 1394 km (754 nmi) with a mild energy hybridization of 5% and a battery specific energy density of 1250 Wh/kg for a fixed maximum takeoff weight. Over a typical 1111 km (600 nmi) mission, fuel savings with a parallel architecture are 96 kg (212 lbs) compared to a conventional turbofan, or 7.1% of the total fuel load. Consequently, it is recommended that a hybrid-electric very light jet utilize a mild-hybrid parallel architecture of around 5% energy hybridization and batteries of at least 1250 Wh/kg.

World Electric Vehicle JournalVol. 17(3)
University of Illinois Urbana-Champaign (US)
University of Illinois at Urbana-Champaign
Affordable and clean energy
Openalex Percentile: Top 48%
Advanced Aircraft Design and Technologies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.