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Visual data mining of rechargeable lithium-ion battery deterioration characteristics
水口, 晋(Mizuguchi, Susumu)
小木, 哲朗(Ogi, Tetsuro)
慶應義塾大学大学院システムデザイン・マネジメント研究科
2011With the wide spread of Electric Vehicles(EV) and its potential for reusability, the secondary use ofin-car Lithium Ion Batteries has become significantly important. In order to realize the secondary
use of in-car Li+B batteries, it is required to understand how the deterioration of battery can beanalyzed through a set of running data. The deterioration of batteries will occur from time to time,thus, it is necessary to measure by multiple points for accurate speculation.
The data sets of EV running data are large in volume and high in complexity, and visual data
mining (VDM) application is implemented for analysis. The application enables stereovision threedimensional data representation on a set of super high-definition 4K Displays. Data sets arevisualized as holistic view, and selected with selected data range and calculate the statistical value
at selected data range.
Using the VDM application, stable windows of internal resistance were found. There found morethan dozens of data points identified at running state after full charge. Plots of those data points inchronological sequence showed the deterioration progress. The data filtering logic for finding
internal resistance proved that it can be accounted as deterioration indicator and be applied todeterioration speculation.
修士学位論文. 2011年度システムエンジニアリング学 第82号
Thesis or Dissertation
https://koara.lib.keio.ac.jp/xoonips/modules/xoonips/detail.php?koara_id=KO40002001-000020110059

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Master’s Dissertation

2011

Visual Data Mining of Rechargeable Lithium -Ion Battery
Deterioration Characteristics

Susumu Mizuguchi（Student ID Number：81033514）

Tetsuro OgiSupervisor

March 2012

Graduate School of System Design and Management,
Keio University
Major in System Design and Management
1

SUMMARY OF MASTER’S DISSERTATION
StudentIdentification
NumberTitle:

81033514

Name

Susumu Mizuguchi“Visual Data Mining ofRechargeable Lithium - Ion Battery Deterioration Characteristics”

Abstract:
With the wide spread of Electric Vehicles(EV) and its potential for reusability, thesecondary use of in-car Lithium Ion Batteries has become significantly important.
In order to realize the secondary use of in-car Li+B batteries, it is required tounderstand how the deterioration of battery can be analyzed through a set ofrunning data. The deterioration of batteries will occur from time to time, thus, it isnecessary to measure by multiple points for accurate speculation.
The data sets of EV running data are large in volume and high in complexity, andvisual data mining (VDM) application is implemented for analysis. The application
enables stereovision three-dimensional data representation on a set of super highdefinition 4K Displays. Data sets are visualized as holistic view, and selected withselected data range and calculate the statistical value at selected data range.
Using the VDM application, stable windows of internal resistance were found.
There found more than dozens of data points identified at running state after fullcharge. Plots of those data points in chronological sequence showed the deterioration
progress. The data filtering logic for finding internal resistance proved that it can beaccounted as deterioration indicator and be applied to deterioration speculation.

Key Word(5 words)
Visual Exploration, Visual Data Mining, High Definition Stereovision Visualization,
Lithium Ion Battery,

Deterioration Speculation,