TY - GEN
T1 - Prediction of the operational envelope of electric aircraft through robust battery cycle-life modeling
AU - Clarke, Matthew
AU - Alonso, Juan
N1 - Funding Information:
This work would not have been possible without the financial support of the DARE (Diversifying Academia, Recruiting Excellence) Doctoral Fellowship from the Office of the Vice Provost for Graduate Education at Stanford University. The authors would also like to Massimo Giordano in the Department of Electrical Engineering for his contributions to the development of the battery aging model as well as Emilio Botero and Timothy MacDonald in the Aerospace Design Lab for their mentorship throughout the study.
Publisher Copyright:
© 2020, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.
PY - 2020
Y1 - 2020
N2 - A semi-empirical model for predicting the cycle-life of lithium-ion batteries for aerospace applications was developed in this paper. It was used to predict the operational envelope of an electric general aviation aircraft. The model is comprised of two parts: a cycle discharge model and an aging model. The former is a Thevenin equivalent discharge model that captures steady-state, transient, and run-time behavior. The latter is a cell degradation model that uses C-rate, discharge voltage, temperature, depth of discharge (DOD), and experimentally obtained parameters to estimate the battery state of health (SOH). The effect of the electrical load predicted from the flight profile was then studied. Preliminary results indicate that battery life can fall by as much as 15% after one calendar year of operation. The sensitivity of discharge rate and cycle depth of discharge to the range, rates of climb, descent, and cruise speed was subsequently examined.
AB - A semi-empirical model for predicting the cycle-life of lithium-ion batteries for aerospace applications was developed in this paper. It was used to predict the operational envelope of an electric general aviation aircraft. The model is comprised of two parts: a cycle discharge model and an aging model. The former is a Thevenin equivalent discharge model that captures steady-state, transient, and run-time behavior. The latter is a cell degradation model that uses C-rate, discharge voltage, temperature, depth of discharge (DOD), and experimentally obtained parameters to estimate the battery state of health (SOH). The effect of the electrical load predicted from the flight profile was then studied. Preliminary results indicate that battery life can fall by as much as 15% after one calendar year of operation. The sensitivity of discharge rate and cycle depth of discharge to the range, rates of climb, descent, and cruise speed was subsequently examined.
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U2 - 10.2514/6.2020-2644
DO - 10.2514/6.2020-2644
M3 - Conference contribution
AN - SCOPUS:85092451929
SN - 9781624105982
T3 - AIAA AVIATION 2020 FORUM
SP - 13
BT - AIAA AVIATION 2020 FORUM
PB - American Institute of Aeronautics and Astronautics Inc. (AIAA)
T2 - AIAA AVIATION 2020 FORUM
Y2 - 15 June 2020 through 19 June 2020
ER -