Investigation of path dependence in commercial lithium-ion cells chosen for plug-in hybrid vehicle duty cycle protocols

被引:82
作者
Gering, Kevin L. [1 ]
Sazhin, Sergiy V. [1 ]
Jamison, David K. [1 ]
Michelbacher, Christopher J. [1 ]
Liaw, Bor Yann [2 ]
Dubarry, Matthieu [2 ]
Cugnet, Mikael [2 ]
机构
[1] Idaho Natl Lab, Idaho Falls, ID 83415 USA
[2] Univ Hawaii Manoa, Hawaii Nat Energy Inst, Honolulu, HI 96822 USA
关键词
Lithium-ion battery; Path dependence; Aging mechanisms; PHEV; Thermal cycling; BATTERY PERFORMANCE; FADING MECHANISM; CAPACITY FADE;
D O I
10.1016/j.jpowsour.2010.05.058
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
There is a growing need to explore path dependence of aging processes in batteries developed for long-term usage, such as lithium-ion cells used in hybrid electric vehicle (HEV) or plug-in hybrid vehicle (PHEV) applications that may then be "retired" to be utilized in grid applications. To better understand the foremost influences on path dependence in the PHEV context, this work aims to bridge the gap between ideal laboratory test conditions and PHEV field conditions by isolating the predominant aging factors in PHEV service, which would include, for example, the nature and frequency of duty cycles, as well as the frequency and severity of thermal cycles. These factors are studied in controlled and repeatable laboratory conditions to facilitate mechanistic evaluation of aging processes. This work is a collaboration between Idaho National Laboratory (INL) and the Hawaii Natural Energy Institute (HNEI). Commercial lithium-ion cells of the Sanyo Y type (18650 configuration) are used in this work covering two initial independent studies of path dependence issues. The first study considers how the magnitude of power pulses and charging rates affect the aging rate, while the second seeks to answer whether thermal cycling has an accelerating effect on cell aging. While this work is in early stages of testing, initial data trends show that cell aging is indeed accelerated under conditions of high discharge pulse power, higher charge rates, and thermal cycling. Such information is useful in developing accurate predictive models for estimating end-of-life conditions. (C) 2010 Elsevier B.V. All rights reserved.
引用
收藏
页码:3395 / 3403
页数:9
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