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ردیف | عنوان | نوع |
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1 |
An intelligent electric vehicle charging system for new energy companies based on consortium blockchain
سیستم شارژ وسایل نقلیه الکتریکی هوشمند برای شرکت های انرژی جدید مبتنی بر کنسرسیوم بلاکچین-2019 With the concerns of environment protection, electric vehicle (EV) is regarded as a promising transportation
tool for green cities project. Since the amount of EV is rising shapely, the EV charging demands
is also rapidly generated. However, seeking suitable charging facilities is not easy for EV users, new
energy companies run charging station separately for self-interests, and charging pile information is not
transparent for drivers. This dilemma is not solved until the merging of blockchain technology. In this
paper, a novel EV charging system is proposed for the cooperation of new energy companies and
providing convenient charging services for users. In this system, charging information is managed and
recorded by the company alliance based on consortium blockchain, which is tamper-resistant and multicentralized.
Meanwhile, a new smart contract is designed to balance the allocation of company’ charging
users, so that the profits of different new energy companies could be fairer. To equilibrate the interest of
companies and EV users, a Bio-Objective Mixed-Integer Programming model (BOMILP) is proposed as the
mathematical logic of smart contracts. Furthermore, we proposed a new algorithm named Limited
Neighborhood Search with Memory (LNSM) to support the implementation of smart contracts, which
could make the smart contract running faster and has a better performance. At last, the proposed EV
charging system and the smart contract are validated through a real case study with the EV charging data
in Beijing, China. Keywords: Electric vehicle | Charging system | Company cooperation | Consortium blockchain | Smart contracts |
مقاله انگلیسی |
2 |
Mobile Edge Computing for Big-Data-Enabled Electric Vehicle Charging
محاسبه لبه های سیار برای شارژ خودروهای الکتریکی با قابلیت داده های بزرگ-2018 As one of the key drivers of smart grid, EVs are
environment-friendly to alleviate CO2 pollution.
Big data analytics could enable the move from
Internet of EVs, to optimized EV charging in smart
transportation. In this article, we propose a MEC
based system, in line with a big data-driven plan
ning strategy, for CS charging. The GC as cloud
server further facilitates analytics of big data, from
CSs (service providers) and on-the-move EVs
(mobile clients), to predict the charging availability
of CSs. Mobility-aware MEC servers interact with
opportunistically encountered EVs to disseminate
CSs’ predicted charging availability, collect EVs’
driving big data, and implement decentralized
computing on data mining and aggregation. The
case study shows the benefits of the MEC-based
system in terms of communication efficiency (with
repeated monitoring of a traffic jam) concerning
the long-term popularity of EVs.
Keywords: Big Data, data analysis, data mining, electric vehicle charging, Internet, power engineering computing |
مقاله انگلیسی |