State-of-charge Stream Processing and Modeling for Electric Vehicle-Based Trips

Lee, Junghoon; Lee, Dong‐Wook; Park, Gyung-Leen

doi:10.14257/ijca.2014.7.9.34

Cited by 1 publication

(2 citation statements)

References 19 publications

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“…Among these, SoC (State-of-Charge) streams, each of which is an instance of a spatio-temporal data series, are very important for energy-efficient tour scheduling and charging planning. Our R&D team has implemented a battery monitoring device and is now accumulating SoC records along major roads in Jeju City, Republic of Korea [2]. Accurate battery consumption models for major roads which occupy a dominating portion of the whole route, will allow us to estimate the battery requirement for an end-to-end route.…”

Section: Introductionmentioning

confidence: 99%

“…As basic Hadoop functions cannot calculate this, we implement it through a new user defined function (UDF). Figure 2 plots the SoC change according to the driving distance for 3 SoC streams taking the same route [2]. Here, SoC values are normalized to the range from 0 to 1.0 to compensate for different initial SoC values in respective streams.…”

Section: Introductionmentioning

confidence: 99%

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Spatio-temporal analysis of state-of-charge streams for electric vehicles

Lee

Park

Cho

et al. 2015

Proceedings of the 14th International Conference on Information Processing in Sensor Networks

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This paper collects the SoC (State-of-Charge) changes of electric vehicles and analyzes the battery consumption behavior. For multiple SoC streams generated on the same road, a Hadoop Pig script filters essential information fields out of the vast amount of SoC records, while its user-defined function adds the distance and the time taken from the start point. Next, neural networks are built to trace the SoC dynamics according to both spatial and temporal aspects of SoC records using the R statistics package. A time-combined model reduces the fitting error by 50 %, compared with the distance-only model. The ongoing project keeps accumulating SoC streams and our model will investigate the effect of other parameters and correlate different streams. An accurate model for major roads taken by most trips, will lead to a more efficient estimation of battery consumption for any point-to-point routes.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%