Cycle Life of Commercial Lithium-Ion Batteries with Lithium Titanium Oxide Anodes in Electric Vehicles
Reads0
Chats0
TLDR
In this article, three commercial LTO cells from different manufacturers were studied in accelerated cycle life tests and their capacity fades were compared and the result indicated that under 55 °C, the LTO battery still showed a high capacity fade rate.Abstract:
The lithium titanium oxide (LTO) anode is widely accepted as one of the best anodes for the future lithium ion batteries in electric vehicles (EVs), especially since its cycle life is very long. In this paper, three different commercial LTO cells from different manufacturers were studied in accelerated cycle life tests and their capacity fades were compared. The result indicates that under 55 °C, the LTO battery still shows a high capacity fade rate. The battery aging processes of all the commercial LTO cells clearly include two stages. Using the incremental capacity (IC) analysis, it could be judged that in the first stage, the battery capacity decreases mainly due to the loss of anode material and the degradation rate is lower. In the second stage, the battery capacity decreases much faster, mainly due to the degradation of the cathode material. The result is important for the state of health (SOH) estimation and remaining useful life (RUL) prediction of battery management system (BMS) for LTO batteries in EVs.read more
Citations
More filters
Journal ArticleDOI
Battery Lifetime Prognostics
TL;DR: A timely and comprehensive review of the battery lifetime prognostic technologies with a focus on recent advances in model-based, data-driven, and hybrid approaches is presented, analyzed, and compared.
Journal ArticleDOI
Critical review of on-board capacity estimation techniques for lithium-ion batteries in electric and hybrid electric vehicles
TL;DR: An overview of available methods and algorithms for on-board capacity estimation of lithium-ion batteries can be found in this article, where the authors also provide an indicator for battery State-of-Health and Remaining Useful Lifetime estimation.
Journal ArticleDOI
A quick on-line state of health estimation method for Li-ion battery with incremental capacity curves processed by Gaussian filter
Yi Li,Yi Li,Mohamed Abdel-Monem,Mohamed Abdel-Monem,Rahul Gopalakrishnan,Maitane Berecibar,Elise Nanini-Maury,Noshin Omar,Peter Van Den Bossche,Joeri Van Mierlo +9 more
TL;DR: In this paper, an advanced state of health (SoH) estimation method for high energy NMC lithium-ion batteries based on the incremental capacity (IC) analysis is proposed.
Journal ArticleDOI
Investigating the error sources of the online state of charge estimation methods for lithium-ion batteries in electric vehicles
TL;DR: A novel perspective focusing on the error analysis of the SOC estimation methods is proposed and the error flow charts are proposed to analyze the error sources from the signal measurement to the models and algorithms for the widely used online SOC estimation Methods in new energy vehicles.
Journal ArticleDOI
Advanced Fault Diagnosis for Lithium-Ion Battery Systems: A Review of Fault Mechanisms, Fault Features, and Diagnosis Procedures
TL;DR: A comprehensive review of the mechanisms, features, and diagnosis of various faults in LIBSs, including internal battery faults, sensor faults, and actuator faults are provided.
References
More filters
Journal ArticleDOI
Lithium batteries: Status, prospects and future
Bruno Scrosati,Jürgen Garche +1 more
TL;DR: In this article, the authors present the present status of lithium battery technology, then focus on its near future development and finally examine important new directions aimed at achieving quantum jumps in energy and power content.
Journal ArticleDOI
A review on the key issues for lithium-ion battery management in electric vehicles
TL;DR: In this article, a brief introduction to the composition of the battery management system (BMS) and its key issues such as battery cell voltage measurement, battery states estimation, battery uniformity and equalization, battery fault diagnosis and so on, is given.
Journal ArticleDOI
Cycle-life model for graphite-LiFePO4 cells
John Wang,Ping Liu,Jocelyn Hicks-Garner,Elena Sherman,Souren Soukiazian,Mark W. Verbrugge,Harshad Tataria,James W. Musser,Peter Finamore +8 more
TL;DR: Experimental results indicated that the capacity loss was strongly affected by time and temperature, while the DOD effect was less important, and attempts in establishing a generalized battery life model that accounts for Ah throughput, C-rate, and temperature are discussed.
Journal ArticleDOI
Synthesize battery degradation modes via a diagnostic and prognostic model
TL;DR: In this paper, a mechanistic model that can enable battery diagnosis and prognosis is presented, which can simulate various "what-if" scenarios of battery degradation modes via a synthetic approach based on specific electrode behavior with proper adjustment of the loading ratio and the extent of degradation in and between the two electrodes.
Journal ArticleDOI
A comparative study of commercial lithium ion battery cycle life in electrical vehicle: Aging mechanism identification
TL;DR: In this article, the aging mechanism of different types of lithium-ion batteries differs and the loss of lithium inventory, loss of active material, and the increase in resistance may result in battery aging.