Electric Aircraft have the potential to revolutionize short-distance air travel with lower
operating costs and simplified maintenance. However, due to the long lead-time associated with
procuring batteries and the maintenance challenges of replacing and repairing batteries in
electric aircraft, there are still unanswered questions related to the true long-term operating
costs of electric aircraft. This research examines using a load-sharing system in electric aircraft
to optimally tune battery degradation in a multi-battery system such that the battery life of
a single battery is extended. The active optimization of energy drawn from multiple battery
packs means that each battery pack reaches its optimal replacement point at the same time;
thereby simplifying the maintenance procedure and reducing cost. This work uses lithium iron
phosphate batteries experimentally characterized and simulated in OpenModelica for a flight
load profile. Adaptive agents control the load on the battery according to factors such as state
of charge, and state of health, to respond to potential faults. The findings in this work show the
potential for adaptive agents to selectively draw more power from a healthy battery to extend
the lifespan of a degraded battery such that the remaining useful life of both batteries reaches
zero at the same time. Simulations show that dual battery replacement can be facilitated using
the proposed method when the in-service battery has a remaining useful life of greater than
0.5; assuming that the replacement battery it is paired with has a remaining useful life of 1.0.
Limitations of the proposed method are discussed within this work.
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Optimal battery purchasing and charging strategy at electric vehicle battery swap stations
- Award ID(s):
- 1634133
- NSF-PAR ID:
- 10120244
- Date Published:
- Journal Name:
- European Journal of Operational Research
- Volume:
- 279
- Issue:
- 2
- ISSN:
- 0377-2217
- Page Range / eLocation ID:
- 524 to 539
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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- Free Publicly Accessible Full Text
-
Accepted Manuscript1.0
- Journal Article:
- https://doi.org/10.1016/j.ejor.2019.06.019
