Jun Zhong;Jianbin Gao;Hu Xia;Bonsu Adjei-Arthur;Daniel Adu Worae;Hairong Lv;Qi Xia
{"title":"Blockchain-Based EV Constant Function Pricer and Oraclized State of Charge Estimator","authors":"Jun Zhong;Jianbin Gao;Hu Xia;Bonsu Adjei-Arthur;Daniel Adu Worae;Hairong Lv;Qi Xia","doi":"10.1109/TITS.2024.3469890","DOIUrl":null,"url":null,"abstract":"The increasing adoption of Electric Vehicle (EV) systems necessitates the development of an Energy Market structure that facilitates peer-to-peer energy sharing among multiple EVs and entities while ensuring a self-regulating pricing mechanism. Real-time State of Charge (SoC) estimation is critical to meeting the dynamic energy demands of EV systems. In this study, we propose a blockchain-based automated market maker (AMM) that utilizes constant function products to establish an effective self-regulating pricing system for EV energy market prices. Our unique State of Charge estimation system leverages blockchain-based oracles to efficiently handle requests and monitor EV-oriented energy markets. This enables precise monitoring of battery states and achieves improved SoC values through the interior point method. Experimentation on a blockchain network reveals cost-effective energy regulation within EV systems and enhanced SoC estimation predictability within Energy Markets. All contracts undergo rigorous testing and are deployed at a gas cost of \n<inline-formula> <tex-math>$2.1913742~x 10^{7}$ </tex-math></inline-formula>\n Wei. Our approach demonstrates high efficiency, for all designed protocols, affirming the efficacy of our proposal. By implementing our blockchain-based AMM and State of Charge estimation system, we ensure transparent and self-regulated energy distribution and pricing within EV Markets, fostering the advancement of autonomous EV systems.","PeriodicalId":13416,"journal":{"name":"IEEE Transactions on Intelligent Transportation Systems","volume":"25 12","pages":"21769-21782"},"PeriodicalIF":7.9000,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Intelligent Transportation Systems","FirstCategoryId":"5","ListUrlMain":"https://ieeexplore.ieee.org/document/10746602/","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, CIVIL","Score":null,"Total":0}
引用次数: 0
Abstract
The increasing adoption of Electric Vehicle (EV) systems necessitates the development of an Energy Market structure that facilitates peer-to-peer energy sharing among multiple EVs and entities while ensuring a self-regulating pricing mechanism. Real-time State of Charge (SoC) estimation is critical to meeting the dynamic energy demands of EV systems. In this study, we propose a blockchain-based automated market maker (AMM) that utilizes constant function products to establish an effective self-regulating pricing system for EV energy market prices. Our unique State of Charge estimation system leverages blockchain-based oracles to efficiently handle requests and monitor EV-oriented energy markets. This enables precise monitoring of battery states and achieves improved SoC values through the interior point method. Experimentation on a blockchain network reveals cost-effective energy regulation within EV systems and enhanced SoC estimation predictability within Energy Markets. All contracts undergo rigorous testing and are deployed at a gas cost of
$2.1913742~x 10^{7}$
Wei. Our approach demonstrates high efficiency, for all designed protocols, affirming the efficacy of our proposal. By implementing our blockchain-based AMM and State of Charge estimation system, we ensure transparent and self-regulated energy distribution and pricing within EV Markets, fostering the advancement of autonomous EV systems.
期刊介绍:
The theoretical, experimental and operational aspects of electrical and electronics engineering and information technologies as applied to Intelligent Transportation Systems (ITS). Intelligent Transportation Systems are defined as those systems utilizing synergistic technologies and systems engineering concepts to develop and improve transportation systems of all kinds. The scope of this interdisciplinary activity includes the promotion, consolidation and coordination of ITS technical activities among IEEE entities, and providing a focus for cooperative activities, both internally and externally.