Elsevier

Journal of Power Sources

Volume 196, Issue 7, 1 April 2011, Pages 3395-3403
Journal of Power Sources

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

https://doi.org/10.1016/j.jpowsour.2010.05.058Get rights and content

Abstract

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.

Introduction

Path dependence is emerging as a premier issue of how electrochemical cells age in conditions that are diverse and variable in the time domain. For example, a laptop battery might be used sporadically, or lithium-ion cells in a vehicle configuration will experience a variable combination of usage and rest periods over a range of temperature and state of charge (SOC). This is complicated by the fact that some aging can actually become worse (or better) when a lithium-ion cell is idle for extended periods under calendar-life (calL) aging, as opposed to cycle-life (cycL) conditions where the cell is used within a predictable schedule. The purpose of this study is to bridge the gap between highly idealized and controlled laboratory test conditions and actual field conditions regarding PHEV applications, so that field-type aging mechanisms can be mimicked and quantified in a repeatable laboratory setting. The main parameters here involve the magnitude of power pulses, frequency of duty cycles, as well as the frequency and severity of thermal cycles, looking at isothermal, mild, and severe scenarios.

Although there is little published literature that covers comprehensive aging and path dependence work, there are articles that address key issues, either singly or in some combination [1], [2], [3], [4], [5], [6], [7], [8], [9], [10] (as a short list). This work advances this body of literature by having a comprehensive and consistent basis for testing and analysis, given the context of a PHEV application.

To date, little is known about lithium-ion aging effects caused by thermal cycling superimposed onto electrochemical cycling, and related path dependence. This scenario is representative of what lithium-ion batteries will experience in vehicle service, where upon the typical start of a HEV/PHEV, the batteries will be cool or cold, will gradually warm up to normal temperature and operate there for a time, then will cool down after the vehicle is turned off. Such thermal cycling will occur thousands of times during the projected life of a HEV/PHEV battery pack. We propose to quantify the effects of thermal cycling on lithium-ion batteries using a representative chemistry that is commercially available (Sanyo Y).

Electrochemical cycling is based on PHEV-relevant cycle-life protocols that are a combination of charge-depleting (CD) and charge-sustaining (CS) modes discussed in the Battery Test Manual for Plug-in Hybrid Electric Vehicles [11]. A realistic duty cycle will involve both CD and CS modes, the proportion of each defined by the severity of the power demands. There are innumerable ways to define and configure such PHEV-type cycling profiles. However, we can at least provide some boundaries to narrow our field of operating conditions. We assume that the cells will start each cycling day at 90% SOC, and that they will not be allowed to go below 35% SOC, with operation around 70% SOC being a nominal condition. The 35, 70, and 90% SOC conditions are also being used to define critical aspects of the related reference performance test (RPT) for this investigation. There are three primary components to the RPT, all assessed at room temperature: (A) static and residual capacity (SRC) over a matrix of current, (B) kinetics and pulse performance testing (PPT) over current for SOCs of interest, and (C) EIS for SOCs of interest. The RPT is performed on all cells every 28-day test interval, as well as a pulse-per-day to provide a quick diagnostic snapshot. Where feasible, we utilize various elements of Diagnostic Testing to characterize performance of the cells and to gain mechanistic-level knowledge regarding both performance features and limitations.

Herein we present the rationale behind the experimental design, early data, and discuss the fundamental modeling tools used to elucidate performance degradation mechanisms. While we recognize that the datasets are underdeveloped due to recent commencement of these tests, we are able to see early-life trends of key performance metrics, which have bearing on upfront issues such as ohmic resistance and the extent of completion of cell formation. The benefit of this work, upon completion, will be the testing approach used to explore aging path dependence, and to provide more realistic and accurate life predictions by accounting for the influence of thermal cycling effects and related path dependence on aging mechanisms.

Section snippets

Test cells

The secondary lithium-ion cells used in this study are Sanyo Y cells of the 18650 configuration that have a nominal capacity rating of 1.9 Ah, and consist of a {LiMn2O4 + LiMn1/3Ni1/3Co1/3O2} cathode of proprietary mixture and a graphite anode. A summary of salient properties is given in Table 1, and a photograph of a portion of these cells in their test fixtures is given in Fig. 1. The capacity and current specifications in Table 1 are provided by the manufacturer, and are presumably at room

Concept of aging path dependence

An understanding of “aging path dependence” is needed to design experiments related thereto and to interpret test data. Path dependence is an important factor for any batteries that will undergo prolonged usage in one or more applications, especially if usage patterns change appreciably during service life. In the context of lithium-ion cells in arbitrary service (vehicle applications, laptops, and consumer electronics), the extent of aging experienced by a cell at a given point in its life

Results and discussion

Work is progressing for PD Studies 1 and 2, which will illuminate fundamental performance limitations, aging mechanisms, and path dependence thereof for cells under these aging conditions. Data analysis is underway for the huge amount of information gathered so far during testing for PD Studies 1 and 2. In particular, pulse-per-day impedances (charge and discharge) and monthly RPT data is being evaluated. Given below is a concise discussion of early data subsets. A more complete discussion and

Conclusions

Through the collaboration of INL and HNEI, a set of path-dependent studies have been initiated that focus on fundamental factors regarding the use of lithium-ion cells in PHEV-type applications. Early performance data over test time indicates that our test cells experience a slightly higher rate of aging at higher magnitude power pulses, higher temperature, and more severe thermal cycling. These results, although somewhat intuitive, allow us to quantify aging effects in the laboratory that have

Acknowledgements

The authors gratefully acknowledge funding provided by the Office of Energy Efficiency and Renewable Energy within the United States Department of Energy, per Contract No. DE-AC07-05ID14517.

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