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.

Toward Real-Time Simulation of Physics Based Lithium-Ion Battery Models

2007 ◽  
Vol 10 (11) ◽  
pp. A255 ◽  
Author(s):  
Venkat R. Subramanian ◽  
Vijayasekaran Boovaragavan ◽  
Vinten D. Diwakar
Keyword(s):  
Lithium Ion Battery ◽  
Real Time ◽  
Lithium Ion ◽  
Real Time Simulation ◽  
Time Simulation

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.

Electrochemical recovery of Ni metallic in molten salts from spent lithium-ion battery

2020 ◽  
Vol 18 (8) ◽  
Author(s):  
Jinglong Liang ◽  
Jing Wang ◽  
Hui Li ◽  
Chenxiao Li ◽  
Hongyan Yan ◽  
...  
Keyword(s):  
Molten Salt ◽  
Lithium Ion Battery ◽  
Electrochemical Reduction ◽  
Lithium Ion ◽  
Cell Voltage ◽  
Metallic Nickel ◽  
Molten Salt Electrolysis ◽  
Reduction Behavior ◽  
Urgent Task ◽  
Constant Cell

AbstractMassive deployment of lithium-ion battery inevitably causes a large amount of solid waste. To be sustainably implemented, technologies capable of reducing environmental impacts and recovering resources from spent lithium-ion battery have been an urgent task. The electrochemical reduction of LiNiO2 to metallic nickel has been reported, which is a typical cathode material of lithium-ion battery. In this paper, the electrochemical reduction behavior of LiNiO2 is studied at 750 °C in the eutectic NaCl-CaCl2 molten salt, and the constant cell voltage electrolysis of LiNiO2 is carried out. The results show that Ni(III) is reduced to metallic nickel by a two-step process, Ni(III) → Ni(II) → Ni, which is quasi-reversible controlled by diffusion and electron transfer. After electrolysis for 6 h at 1.4 V, the surface of LiNiO2 cathode is reduced to metallic nickel, with NiO and a small amount of Li0.4Ni1.6O2 detected inside the partially reduced cathode. After prolonging the electrolysis time to 12 h, LiNiO2 is fully electroreduced to metallic nickel, achieving a high current efficiency of 98.60%. The present work highlights that molten salt electrolysis could be an effective protocol for reclamation of spent lithium-ion battery.

A novel spring-structured coaxial hierarchical SiO2@Co3O4 nanowire as a lithium-ion battery anode and its in situ real-time lithiation

2019 ◽  
Vol 31 (3) ◽  
pp. 035401 ◽  
Author(s):  
Tianli Han ◽  
Yingyi Ding ◽  
Yu Chen ◽  
Dong Cheng ◽  
Ping Zhou ◽  
...  
Keyword(s):  
Lithium Ion Battery ◽  
Real Time ◽  
Lithium Ion ◽  
Battery Anode

Electrospinning preparation of one-dimensional Co2+-doped Li4Ti5O12 nanofibers for high-performance lithium ion battery

Ionics ◽  
2018 ◽  
Vol 24 (7) ◽  
pp. 1887-1894 ◽  
Author(s):  
Xueyang Ji ◽  
Dong Li ◽  
Qifang Lu ◽  
Enyan Guo ◽  
Linbing Yao ◽  
...  
Keyword(s):  
Lithium Ion Battery ◽  
High Performance ◽  
Lithium Ion ◽  
One Dimensional

Self-templating synthesis of silicon nanorods from natural sepiolite for high-performance lithium-ion battery anodes

2018 ◽  
Vol 6 (15) ◽  
pp. 6356-6362 ◽  
Author(s):  
Qingze Chen ◽  
Runliang Zhu ◽  
Shaohong Liu ◽  
Dingcai Wu ◽  
Haoyang Fu ◽  
...  
Keyword(s):  
Porous Structure ◽  
Lithium Ion Battery ◽  
High Performance ◽  
Synthesis Method ◽  
Lithium Ion ◽  
Hierarchical Porous Structure ◽  
One Dimensional ◽  
Hierarchical Porous ◽  
Templating Synthesis

One-dimensional silicon nanorods with a hierarchical porous structure were synthesized from natural sepiolite by a simple self-templating synthesis method.

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