Physics-based modelling of LiFePO&lt;inf&gt;4&lt;/inf&gt;-graphite Li-ion batteries for power and capacity fade predictions: Application to calendar aging of PHEV and EV

Prada, Eric; Domênico, Daniela Di; Creff, Yann; Bernard, Julien; Sauvant-Moynot, Valérie; Huet, François

doi:10.1109/vppc.2012.6422717

Cited by 13 publications

(13 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Actually, the increase in charge- During the aging test, we find that the characteristic frequency of P4_PE is drastically reduced-by a factor of four-changing from around 28 Hz to 6.5 Hz at intermediate SoCs (Figure 7c [41]. They have related this effect to a charge-transfer process as performed in other studies in which charge-transfer processes take place around 10 Hz [14,22,32,34]. In addition, we find that P4_PE shows a strong SoC dependency (Figure 7), which is also commonly attributed to the electrochemical reaction [18,25,[42][43][44][45].…”

Section: Positive Electrode (Lco-nmc/li Half-cell)supporting

confidence: 63%

“…One of the advantages of EIS is that the measured effects can be easily translated into equivalent electrical circuits, which are commonly based on combinations of resistive, capacitive, and inductive elements along with constant phase elements (CPEs) [20][21][22][23][24]. In the literature, it is common to find the evolution of the resistive parts with state-of-charge (SoC) [9,18,22,25,26] but less information is available about the evolution of capacitance or characteristic frequency [20,26]. Nevertheless, in order to get a better understanding of the electrochemical processes and transport phenomena that take place in the cells, capacitance and frequency are also important parameters to be considered.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Impedance Characterization of an LCO-NMC/Graphite Cell: Ohmic Conduction, SEI Transport and Charge-Transfer Phenomenon

Ovejas

Cuadras

2018

Batteries

View full text Add to dashboard Cite

Currently, Li-ion cells are the preferred candidates as energy sources for existing portable applications and for those being developed. Thus, a proper characterization of Li-ion cells is required to optimize their use and their manufacturing process. In this study, the transport phenomena and electrochemical processes taking place in LiCoO2-Li(NiMnCo)O2/graphite (LCO-NMC/graphite) cells are identified from half-cell measurements by means of impedance spectroscopy. The results are calculated from current densities, instead of absolute values, for the future comparison of this data with other cells. In particular, impedance spectra are fitted to simple electrical models composed of an inductive part, serial resistance, and various RQ networks—the parallel combination of a resistor and a constant phase element—depending on the cell. Thus, the evolution of resistances, capacitances, and the characteristic frequencies of the various effects are tracked with the state-of-charge (SoC) at two aging levels. Concretely, two effects are identified at the impedance spectrum; one is clearly caused by the charge transfer at the positive electrode, whereas the other one is presumably caused by the transport of lithium ions across the solid electrolyte interphase (SEI) layer. Moreover, as the cells age, the characteristic frequency of the charge transfer is drastically reduced by a factor of around 70%.

show abstract

Section: Positive Electrode (Lco-nmc/li Half-cell)supporting

confidence: 63%

Section: Introductionmentioning

confidence: 99%

Impedance Characterization of an LCO-NMC/Graphite Cell: Ohmic Conduction, SEI Transport and Charge-Transfer Phenomenon

Ovejas

Cuadras

2018

Batteries

View full text Add to dashboard Cite

show abstract

“…SOC is another important factor, as cell stored at high SOC show increased capacity fade. This could be explained by the higher potential disequilibrium at the electrode-electrolyte interface due to higher SOC [18][19][20][21].…”

Section: Calendar and Cycle Agingmentioning

confidence: 99%

Electrothermal Aging Model of Li-Ion Batteries for Vehicle-to-Grid Services Evaluation

2022

View full text Add to dashboard Cite

The growing interest in Electrical Vehicles (EVs) opens new possibilities in the use of Li-ion batteries in order to provide ancillary grid services while they are plugged to recharging stations. Indeed, Vehicle-to-Grid (V2G), Vehicle-to-Building (V2B), Vehicle-to-Home (V2H) as well as Vehicle-to-Vehicle (V2V) services can be carried out depending on the particular installation and on the connection to the distribution grid of the considered recharging station. Even if these are interesting and challenging opportunities, the additional charging/discharging cycles necessary to provide these services could decrease the expected life of EV batteries. For this reason, it is of paramount importance to study and develop reliable models of the batteries, which take the aging phenomena affecting the reliability of the Li-ion cells into account to evaluate the best charging/discharging strategy and the economic revenues. To this aim, this paper focuses on a battery pack made up with Li-ion nickel–manganese–cobalt (NMC) cells and proposes a semiempirical Electrothermal Aging Model, which accounts for both calendar and cycle aging. This modeling phase is supported by several experimental data recorded for many charge and discharge cycles at different C-rates and for several temperatures. Thus, it is possible to analyze and compare scenarios considering V2G services or not. Results show that the considered battery is subjected to a life reduction of about 2 years, which is a consequence of the increased Ah charge throughput, which moves from 120,000 Ah over 10 years (scenario without V2G services) to almost 230,000 Ah over 8 years (scenario with V2G services).

show abstract

“…The porosity modification mechanism caused by the growth of the solid electrolyte interphase (SEI) film at the negative electrode was added to the electro‐thermal model to develop the theoretical relationship between the battery capacity and performance attenuation in Prada et al The aging model covered the effects of different battery impedance changes, such as the SEI film resistance and the electrolyte mass transport resistance, as shown in the following formula:

R_{SC} = R_{ct}^{p} + R_{ct}^{n} + R_{SEI} = \frac{RT}{{Fi}_{0, p} S_{p}} + \frac{RT}{{Fi}_{0, n} S_{n}} + \frac{δ_{italicSEI}}{κ_{SEI} S_{n}},

…”

Section: Battery Modelsmentioning

confidence: 99%

A review on battery management system from the modeling efforts to its multiapplication and integration

2019

View full text Add to dashboard Cite

Summary Progress in battery technology accelerates the transition of battery management system (BMS) from a mere monitoring unit to a multifunction integrated one. It is necessary to establish a battery model for the implementation of BMS's effective control. With more comprehensive and faster battery model, it would be accurate and effective to reflect the behavior of the battery level to the vehicle. On this basis, to ensure battery safety, power, and durability, some key technologies based on the model are advanced, such as battery state estimation, energy equalization, thermal management, and fault diagnosis. Besides, the communication of interactions between BMS and vehicle controllers, motor controllers, etc is an essential consideration for optimizing driving and improving vehicle performance. As concluded, a synergistic and collaborative BMS is the foundation for green‐energy vehicles to be intelligent, electric, networked, and shared. Thus, this paper reviews the research and development (R&D) of multiphysics model simulation and multifunction integrated BMS technology. In addition, summary of the relevant research and state‐of‐the‐art technology is dedicated to improving the synergy and coordination of BMS and to promote the innovation and optimization of new energy vehicle technology.

show abstract

Physics-based modelling of LiFePO<inf>4</inf>-graphite Li-ion batteries for power and capacity fade predictions: Application to calendar aging of PHEV and EV

Cited by 13 publications

References 10 publications

Impedance Characterization of an LCO-NMC/Graphite Cell: Ohmic Conduction, SEI Transport and Charge-Transfer Phenomenon

Impedance Characterization of an LCO-NMC/Graphite Cell: Ohmic Conduction, SEI Transport and Charge-Transfer Phenomenon

Electrothermal Aging Model of Li-Ion Batteries for Vehicle-to-Grid Services Evaluation

A review on battery management system from the modeling efforts to its multiapplication and integration

Contact Info

Product

Resources

About