Abstract
In a laboratory environment, it is cost prohibitive to run automotive battery aging experiments across a wide range of possible ambient environment, drive cycle, and charging scenarios. Because worst-case scenarios drive the conservative sizing of electric-drive vehicle batteries, it is useful to understand how and why those scenarios arise and what design or control actions might be taken to mitigate them. In an effort to explore this problem, this paper applies a semi-empirical life model of the graphite/nickel-cobalt-aluminum lithium-ion chemistry to investigate calendar degradation for various geographic environments and simplified cycling scenarios. The life model is then applied to analyze complex cycling conditions using battery charge/discharge profiles generated from simulations of plug-in electric hybrid vehicles (PHEV10 and PHEV40) vehicles across 782 single-day driving cycles taken from a Texas travel survey. Drive cycle statistics impacting battery life are compared to standard test cycles.
Original language | American English |
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Number of pages | 11 |
DOIs | |
State | Published - 2012 |
Event | SAE 2012 World Congress and Exhibition - Detroit, MI, United States Duration: 24 Apr 2012 → 26 Apr 2012 |
Conference
Conference | SAE 2012 World Congress and Exhibition |
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Country/Territory | United States |
City | Detroit, MI |
Period | 24/04/12 → 26/04/12 |
Bibliographical note
Posted with permissionNREL Publication Number
- NREL/CP-5400-53817
Keywords
- battery aging
- charge/discharge profiles
- electric drive vehicles
- environmental effects
- Li-ion
- lithium ion
- model