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Embry Riddle Aeronautical University

Aviation Propulsive Lithium-Ion Battery Packs State-of-Charge and State-of-Health Estimations and Propulsive Battery System Weight Analysis

Abstract

dc:description.abstract

<p>Aviation propulsive battery pack research is in high demand with the development of electric and hybrid aircraft. Accurate inflight state-of-charge and state-of-health estimations of aviation battery packs still remain challenging. This thesis puts efforts on estimating the state-of-charge, state-of-health, and remaining energy of a lithium- ion propulsive battery pack with a recursive least squares based adaptive estimator. By reading the system measurements (discharging currents and terminal voltages) with persistent excitation, the proposed estimator can determine the present internal parameters of the battery cells and further interpolate them into state-of-charge, state-of-health, and the remaining energy information. The validation results indicate that the recursive least squares based estimator achieves convergence within a very short time period (_ 1 second) with desirable estimation accuracy (normally under 1%).</p> <p>To validate the recursive least squares based estimator, a lithium-ion single cell simulation model is developed to simulate a NCR18650GA single cell's performance during discharge at 25oC. Validations of the single cell simulation model with both constant discharging current and HK-36 flight mission profile show simulation errors less than 1.3%.</p> <p>This thesis also empirically analyzes the propulsive battery system weight and weight fractions based on the HK-36 electric airplane propulsive battery system designing experiences. As a result, the entire HK-36 propulsive battery system takes approximately 27% of the aircraft gross weight. 58% of the battery system weight is the cells' weight, and 42% is the auxiliary components weight. Taking the weight fraction into consideration, NCR18650GA cells' effective specific energy reduces from 0.16 HP-hr/lb (259 W-hr/kg) to 0.09 HP-hr/lb (150 W-hr/kg).</p>

Degree

thesis:*
Name thesis:degree_name
Master of Science in Aerospace Engineering
Level thesis:degree_level
Thesis - Open Access
Discipline thesis:degree_discipline
Aerospace Engineering
Year
2017

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Lilly, Jingsi

Subjects

dc:subject × 6

Identifiers

dc:identifier.*
Repository record dc:identifier
https://commons.erau.edu/edt/367
OAI identifier oai:identifier
oai:commons.erau.edu:edt-1366

Chain of custody

source
Harvested from
Embry Riddle Aeronautical University
Base URL
commons.erau.edu/do/oai/
Last updated
2026-07-27
Source record
OAI-PMH GetRecord
citation

Lilly, Jingsi. Aviation Propulsive Lithium-Ion Battery Packs State-of-Charge and State-of-Health Estimations and Propulsive Battery System Weight Analysis. Thesis - Open Access thesis, 2017. https://commons.erau.edu/edt/367