Lithium-ion Battery Rate-of-Degradation Modeling for Real-Time Battery Degradation Control during EV Drive Cycle

2018 ◽  
Author(s):  
Ruxiu Zhao ◽  
Robert D. Lorenz ◽  
Thomas M. Jahns
Keyword(s):  
Lithium Ion Battery ◽  
Real Time ◽  
Lithium Ion ◽  
Drive Cycle ◽  
Degradation Modeling ◽  
Battery Degradation

scholarly journals Faster-Than-Real-Time Simulation of Lithium Ion Batteries with Full Spatial and Temporal Resolution

2013 ◽  
Vol 2013 ◽  
pp. 1-10 ◽  
Author(s):  
Sandip Mazumder ◽  
Jiheng Lu
Keyword(s):  
Lithium Ion Battery ◽  
Real Time ◽  
Hybrid Electric Vehicle ◽  
Lithium Ion ◽  
Cell Voltage ◽  
Single Pair ◽  
Drive Cycle ◽  
One Dimensional ◽  
Time Simulation ◽  
Volume Method

A one-dimensional coupled electrochemical-thermal model of a lithium ion battery with full temporal and normal-to-electrode spatial resolution is presented. Only a single pair of electrodes is considered in the model. It is shown that simulation of a lithium ion battery with the inclusion of detailed transport phenomena and electrochemistry is possible with faster-than-real-time compute times. The governing conservation equations of mass, charge, and energy are discretized using the finite volume method and solved using an iterative procedure. The model is first successfully validated against experimental data for both charge and discharge processes in aLixC6-LiyMn2O4battery. Finally, it is demonstrated for an arbitrary rapidly changing transient load typical of a hybrid electric vehicle drive cycle. The model is able to predict the cell voltage of a 15-minute drive cycle in less than 12 seconds of compute time on a laptop with a 2.33 GHz Intel Pentium 4 processor.

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.

Matrix-matched standards for the quantification of elemental lithium ion battery degradation products deposited on carbonaceous negative electrodes using pulsed-glow discharge-sector field-mass spectrometry

2017 ◽  
Vol 32 (10) ◽  
pp. 1862-1867 ◽  
Author(s):  
Marco Evertz ◽  
Timo Schwieters ◽  
Markus Börner ◽  
Martin Winter ◽  
Sascha Nowak
Keyword(s):  
Mass Spectrometry ◽  
Glow Discharge ◽  
Lithium Ion Battery ◽  
Degradation Products ◽  
Lithium Ion ◽  
Field Mass ◽  
Pulsed Glow Discharge ◽  
Negative Electrodes ◽  
Battery Degradation ◽  
Sector Field Mass Spectrometry

A glow discharge-sector field-mass spectrometry (GD-SF-MS) method using matrix-matched self-prepared carbonaceous standards for elemental battery degradation products of (NCM111) electrodes was developed.

Fast Simulations of Lithium-Ion Battery Degradation

2021 ◽  
Vol MA2021-02 (1) ◽  
pp. 179-179
Author(s):  
Valentin Sulzer ◽  
Peyman Mohtat ◽  
Sravan Pannala ◽  
Jason Siegel ◽  
Anna Stefanopoulou
Keyword(s):  
Lithium Ion Battery ◽  
Lithium Ion ◽  
Battery Degradation
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