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Journal of Emerging Trends in Computing and Information Sciences >> Call for Papers Vol. 8 No. 3, March 2017

Journal of Emerging Trends in Computing and Information Sciences

A Study on the Estimation Models of Road Electric Energy Harvester According to the Traffic Characteristics Using Piezoelectric Effect

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Author Seong-In Kang, Seung-Ki Ryu, Yeo-Han Yoon, Jong-Hae Suh, Hwa-Soo Yeo
ISSN 2079-8407
On Pages 222-228
Volume No. 7
Issue No. 4
Issue Date May 1, 2016
Publishing Date May 1, 2016
Keywords Piezoelectric power generator, traffic characteristics, power generation, estimation model


In this paper, we introduce the estimation models of road electric energy generation by installing a piezoelectric energy harvester using piezoelectric effect. In addition, we propose an analysis system for piezoelectric energy harvester including the estimation models of road electric power generation according to the traffic characteristics. A piezoelectric energy harvester with 10cm thickness was laid underground down to a depth of about 5cm. In this paper, we focus on developing the estimation models of power generation efficiency variation according to the traffic characteristics using the average power generation of a bulk type’s piezoelectric sensor. The traffic patterns are different based on the different places and times on roads. Thus, we developed the estimation models of a piezoelectric energy harvester by analyzing the representative traffic indexes such as flow, speed, and vehicle types. Moreover, the developed estimation models are equipped on our analysis system by which we present specific methods for simple operations.

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