Blockchain-Based EV Constant Function Pricer and Oraclized State of Charge Estimator

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 <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$2.1913742~x 10^{7}$ </tex-math></inline-formula> 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.

Authors

Institutions

Publication Details

Journal
IEEE Transactions on Intelligent Transportation Systems
Published
2024-11-07
DOI
https://doi.org/10.1109/tits.2024.3469890
Primary Topic
Blockchain Technology Applications and Security
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Blockchain-Based EV Constant Function Pricer and Oraclized State of Charge Estimator

Jianbin Gao, Qi Xia, Bonsu Adjei-Arthur, Hairong Lv et al.
IEEE Transactions on Intelligent Transportation Systems
Blockchain Technology Applications and Security
article

Blockchain-Based EV Constant Function Pricer and Oraclized State of Charge Estimator

Jianbin Gao, Qi Xia, Bonsu Adjei-Arthur, Hairong Lv, Hu Xia, Daniel Adu Worae, Jun Zhong
article en

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 <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$2.1913742~x 10^{7}$ </tex-math></inline-formula> 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.

IEEE Transactions on Intelligent Transportation SystemsVol. 25(12)
University of Notre Dame (US), University of Electronic Science and Technology of China (CN), Tsinghua University (CN)
National Natural Science Foundation of China
Decent work and economic growth
Openalex Percentile: Top 69%
Blockchain Technology Applications and Security
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.