Degradation and modeling of large-format commercial lithium-ion cells as a function of chemistry, design, and aging conditions

被引:13
|
作者
Gasper, Paul [1 ]
Saxon, Aron [1 ]
Shi, Ying [1 ]
Endler, Elizabeth [2 ]
Smith, Kandler [1 ]
Thakkar, Foram M. [3 ]
机构
[1] Natl Renewable Energy Lab, Denver West Pkwy, Golden, CO 80401 USA
[2] Shell Technol Ctr Houston, Shell Int Explorat & Prod, 3333 Highway 6 South, Houston, TX USA
[3] Shell India Markets Private Ltd, Shell Technol Ctr Bangalore, Bengaluru, Karnataka, India
关键词
Lithium-ion battery; Degradation; Stationary energy storage; Cycle life; Calendar life; Machine-learning; CYCLE-LIFE; MECHANISMS; CALENDAR; CAPACITY; POWER;
D O I
10.1016/j.est.2023.109042
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Demand for large-format (>10 Ah) lithium-ion batteries has increased substantially in recent years, due to the growth of both electric vehicle and stationary energy storage markets. The economics of these applications is sensitive to the lifetime of the batteries, and end-of-life can either be due to energy or power limitations. Despite this, there is little information from cell manufacturers on the sensitivity of cell degradation to environmental conditions or battery use. This work reports accelerated aging test data from four commercial large-format lithium-ion batteries from three manufacturers, with varying design (thickness, casings, ...), chemistry (lithium-iron-phosphate (LFP) or lithium-nickel-manganese-cobalt-oxide positive electrodes (NMC), with graphite (Gr) negative electrodes), and capacity (50 to 250 Amp center dot hours). The tested LFP|Gr cell is found to be relatively insensitive to cycling conditions like temperature or voltage window, while NMC|Gr cells have varying sensitivity. Degradation trends are further investigated by training predictive models: simple polynomial trend lines, a semi-empirical reduced-order model, and an empirical reduced-order model identified using machine-learning based on symbolic regression. Calendar and cycle life are simulated over a variety of conditions to directly compare the various batteries. Cell size and thickness are found to substantially impact sensitivity to temperature during cycle aging, while electrode chemistry impacts depth-of-discharge sensitivity. Real-world battery lifetime is evaluated by simulating residential energy storage and commercial frequency containment reserve systems in several U.S. climate regions. Predicted lifetime across cell types varies from 7 years to 20+ years, though all cells are predicted to have at least 10 year life in certain conditions.
引用
收藏
页数:20
相关论文
共 50 条
  • [1] Degradation and modeling of large-format commercial Lithium-ion cells as a function of chemistry, design, and aging conditions (vol 73, 109042, 2023)
    Gasper, Paul
    Saxon, Aron
    Shi, Ying
    Endler, Elizabeth
    Smith, Kandler
    Thakkar, Foram M.
    JOURNAL OF ENERGY STORAGE, 2024, 84
  • [2] Degradation and modeling of large-format commercial lithium-ion cells as a function of chemistry, design, and aging conditions (vol 73, 109042, 2023)
    Gasper, Paul
    Saxon, Aron
    Shi, Ying
    Endler, Elizabeth
    Smith, Kandler
    Thakkar, Foram M.
    JOURNAL OF ENERGY STORAGE, 2024, 83
  • [3] Degradation of Commercial Lithium-Ion Cells as a Function of Chemistry and Cycling Conditions
    Preger, Yuliya
    Barkholtz, Heather M.
    Fresquez, Armando
    Campbell, Daniel L.
    Juba, Benjamin W.
    Roman-Kustas, Jessica
    Ferreira, Summer R.
    Chalamala, Babu
    JOURNAL OF THE ELECTROCHEMICAL SOCIETY, 2020, 167 (12)
  • [4] Investigation of inhomogeneous degradation in large-format lithium-ion batteries
    Li, Xianqiang
    Zeng, Tao
    Qin, Honglian
    Huo, Ran
    Liu, Yingbo
    Wei, Dexun
    Ding, Xuan
    JOURNAL OF ENERGY STORAGE, 2021, 42 (42):
  • [5] Inhomogeneous degradation induced by lithium plating in a large-format lithium-ion battery
    Xie, Yingchen
    Wang, Shan
    Li, Ruihe
    Ren, Dongsheng
    Yi, Mengchao
    Xu, Chengshan
    Han, Xuebing
    Lu, Languang
    Friess, Benedikt
    Offer, Gregory
    Ouyang, Minggao
    JOURNAL OF POWER SOURCES, 2022, 542
  • [6] Investigation on the explosion dynamics of large-format lithium-ion pouch cells
    Shan, Tongxin
    Zhu, Xiaoqing
    Wang, Zhenpo
    Wang, Hsin
    Gao, Yanfei
    Li, Lei
    APPLIED THERMAL ENGINEERING, 2023, 227
  • [7] Effect of Tab Cooling on Large-Format Lithium-Ion Pouch Cells
    Theinglim, Kanchai
    Poramapojana, Poowanart
    SAE Technical Papers, 2019, (December):
  • [8] Anisotropic Thermal Characterisation of Large-Format Lithium-Ion Pouch Cells
    Lin, Jie
    Chu, Howie N.
    Monroe, Charles W.
    Howey, David A.
    BATTERIES & SUPERCAPS, 2022, 5 (05)
  • [9] Uncovering the degradation mechanism induced by ion-diffusion kinetics in large-format lithium-ion pouch cells
    Zhou, Shi
    Zhang, Xiaohong
    Chen, Cong
    Chen, Ming
    Kong, Fanpeng
    Qiao, Yingjie
    Wang, Jiajun
    JOURNAL OF ENERGY CHEMISTRY, 2023, 83 : 98 - 105
  • [10] Uncovering the degradation mechanism induced by ion-diffusion kinetics in large-format lithium-ion pouch cells
    Shi Zhou
    Xiaohong Zhang
    Cong Chen
    Ming Chen
    Fanpeng Kong
    Yingjie Qiao
    Jiajun Wang
    Journal of Energy Chemistry, 2023, 83 (08) : 98 - 105