Investigation of charging and discharging behavior on lithium –ion battery cell using multi scale multi domain battery model in CFD

2020 ◽  
Author(s):  
Siddhan Sivakumar
Keyword(s):  
Lithium Ion Battery ◽  
Lithium Ion ◽  
Battery Cell ◽  
Multi Scale ◽  
Battery Model

scholarly journals An Electrical Equivalent Circuit Model of a Lithium Titanate Oxide Battery

Batteries ◽  
2019 ◽  
Vol 5 (1) ◽  
pp. 31 ◽  
Author(s):  
Seyed Madani ◽  
Erik Schaltz ◽  
Søren Knudsen Kær
Keyword(s):  
Lithium Ion Battery ◽  
Equivalent Circuit Model ◽  
Lithium Ion ◽  
Lithium Titanate ◽  
Electrical Circuit ◽  
Battery Cell ◽  
Electrical Equivalent Circuit ◽  
Battery Model ◽  
Lithium Titanate Oxide ◽  
Voltage Performance

A precise lithium-ion battery model is required to specify their appropriateness for different applications and to study their dynamic behavior. In addition, it is important to design an efficient battery system for power applications. In this investigation, a second-order equivalent electrical circuit battery model, which is the most conventional method of characterizing the behavior of a lithium-ion battery, was developed. The current pulse procedure was employed for parameterization of the model. The construction of the model was described in detail, and a battery model for a 13 Ah lithium titanate oxide battery cell was demonstrated. Comprehensive characterization experiments were accomplished for an extensive range of operating situations. The outcomes were employed to parameterize the suggested dynamic model of the lithium titanate oxide battery cell. The simulation outcomes were compared to the laboratory measurements. In addition, the proposed lithium-ion battery model was validated. The recommended model was assessed, and the proposed model was able to anticipate precisely the current and voltage performance.

An easy-to-parameterise physics-informed battery model and its application towards lithium-ion battery cell design, diagnosis, and degradation

2018 ◽  
Vol 384 ◽  
pp. 66-79 ◽  
Author(s):  
Yu Merla ◽  
Billy Wu ◽  
Vladimir Yufit ◽  
Ricardo F. Martinez-Botas ◽  
Gregory J. Offer
Keyword(s):  
Lithium Ion Battery ◽  
Lithium Ion ◽  
Cell Design ◽  
Battery Cell ◽  
Battery Model

Hybrid Neural Net Model of a Lithium Ion Battery

2011 ◽  
Author(s):  
Rehan Refai ◽  
Sandeep Yayathi ◽  
Dongmei Chen ◽  
Benito Fernandez-Rodriguez
Keyword(s):  
Lithium Ion Battery ◽  
Lithium Ion ◽  
Open Loop ◽  
Neural Nets ◽  
Neural Net ◽  
Battery Cell ◽  
One Dimensional ◽  
Battery Model ◽  
Modeling Approach ◽  
Battery State Of Charge

This paper discusses the development of a hybrid neural net and physics based battery model. A control oriented one dimensional physics based model of a battery is developed. A neural net based modeling approach is used to compensate for the lack of knowledge of material parameters for the battery cell. Given the knowledge of the physics of the battery, sparse recurrent neural nets are used. Multiple types of standalone neural nets as well as hybrid neural net and physics based battery models are developed and tested to determine the appropriate configuration for an optimal performance. All neural nets are trained as open-loop (feed-forward) systems and are tested as recurrent systems, with the battery state of charge being fed back. The neural nets are trained, tested and validated using test data from a 4.4Ah Boston Power lithium ion battery cell. The modeling approach presented in this paper is able to accurately simulate battery performance for multiple current profiles.

scholarly journals Effect of dynamic loads and vibrations on lithium-ion batteries

2021 ◽  
pp. 146134842110081
Author(s):  
Xia Hua ◽  
Alan Thomas
Keyword(s):  
Lithium Ion Batteries ◽  
Lithium Ion Battery ◽  
Experimental Studies ◽  
Lithium Ion ◽  
Battery Pack ◽  
Dynamic Loads ◽  
Electrical Performance ◽  
Mechanical Degradation ◽  
Energy Storage Devices ◽  
Battery Cell

Lithium-ion batteries are being increasingly used as the main energy storage devices in modern mobile applications, including modern spacecrafts, satellites, and electric vehicles, in which consistent and severe vibrations exist. As the lithium-ion battery market share grows, so must our understanding of the effect of mechanical vibrations and shocks on the electrical performance and mechanical properties of such batteries. Only a few recent studies investigated the effect of vibrations on the degradation and fatigue of battery cell materials as well as the effect of vibrations on the battery pack structure. This review focused on the recent progress in determining the effect of dynamic loads and vibrations on lithium-ion batteries to advance the understanding of lithium-ion battery systems. Theoretical, computational, and experimental studies conducted in both academia and industry in the past few years are reviewed herein. Although the effect of dynamic loads and random vibrations on the mechanical behavior of battery pack structures has been investigated and the correlation between vibration and the battery cell electrical performance has been determined to support the development of more robust electrical systems, it is still necessary to clarify the mechanical degradation mechanisms that affect the electrical performance and safety of battery cells.

Post-lithium-ion battery cell production and its compatibility with lithium-ion cell production infrastructure

Nature Energy ◽  
2021 ◽  
Vol 6 (2) ◽  
pp. 123-134
Author(s):  
Fabian Duffner ◽  
Niklas Kronemeyer ◽  
Jens Tübke ◽  
Jens Leker ◽  
Martin Winter ◽  
...  
Keyword(s):  
Lithium Ion Battery ◽  
Lithium Ion ◽  
Battery Cell ◽  
Cell Production ◽  
Lithium Ion Cell

scholarly journals Box–Jenkins Black-Box Modeling of a Lithium-Ion Battery Cell Based on Automotive Drive Cycle Data

2021 ◽  
Vol 12 (3) ◽  
pp. 102
Author(s):  
Jaouad Khalfi ◽  
Najib Boumaaz ◽  
Abdallah Soulmani ◽  
El Mehdi Laadissi
Keyword(s):  
Lithium Ion Battery ◽  
Linear Model ◽  
Goodness Of Fit ◽  
Transfer Functions ◽  
Mean Squared Error ◽  
Lithium Ion ◽  
Drive Cycle ◽  
Cell Dynamics ◽  
Battery Cell ◽  
Parameter Identifications

The Box–Jenkins model is a polynomial model that uses transfer functions to express relationships between input, output, and noise for a given system. In this article, we present a Box–Jenkins linear model for a lithium-ion battery cell for use in electric vehicles. The model parameter identifications are based on automotive drive-cycle measurements. The proposed model prediction performance is evaluated using the goodness-of-fit criteria and the mean squared error between the Box–Jenkins model and the measured battery cell output. A simulation confirmed that the proposed Box–Jenkins model could adequately capture the battery cell dynamics for different automotive drive cycles and reasonably predict the actual battery cell output. The goodness-of-fit value shows that the Box–Jenkins model matches the battery cell data by 86.85% in the identification phase, and 90.83% in the validation phase for the LA-92 driving cycle. This work demonstrates the potential of using a simple and linear model to predict the battery cell behavior based on a complex identification dataset that represents the actual use of the battery cell in an electric vehicle.

Sign in / Sign up

Export Citation Format

Share Document