通过电动汽车在互联网上的安全数据交易和能源交易模型的区块链
Taher Al-Shehari1, Mohammed Kadrie1, Taha Alfakih2
1Computer Skills, Department of Self-Development Skill, Common First Year Deanship, King Saud University, 11362, Riyadh, Saudi Arabia.
Scientific reports
|August 19, 2024
概括
本研究介绍了使用区块链技术为电动汽车 (EV) 提供安全的数据和能源交易框架. 拟议的模型增强了能源管理,并解决了充电站面临的挑战,以便广泛采用电动汽车.
科学领域:
- 计算机科学 计算机科学
- 电气工程 电气工程
- 智能交通运输是智能交通运输.
背景情况:
- 电动汽车 (EV) 提供环境和性能优势,推动智能运输的采用.
- 广泛采用电动汽车在能源管理方面面临挑战,主要是由于充电站的稀缺性.
- 安全可靠的能源管理框架对于高效的电动汽车集成至关重要.
研究的目的:
- 为使用区块链 (BC) 的电动汽车互联网 (IoEV) 提供安全的数据和能源贸易范式.
- 开发基于BC的去中心化交易和存储模型,以保护隐私,以实现高电动汽车集成.
- 加强能源管理并解决电动汽车充电基础设施的局限性.
主要方法:
- 在电动汽车互联网 (IoEV) 中,基于区块链 (BC) 的安全数据和能源贸易范式.
- 整合包括信任机构 (TA),车辆,智能电表,路边单位 (RSU),BC和星际文件系统 (IPFS) 在内的实体.
- 使用Mayfly Pelican优化算法 (MPOA) 的帐户映射,将Mayfly算法 (MA) 和Pelican优化算法 (POA) 合并.
主要成果:
- 梅飞优化算法 (MPOA) 在内存消耗 (4.605 MB),交易率 (91%),交易成本 (0.654) 和交易能量量 (90 kW) 中表现出卓越的性能.
- 拟议的基于BC的框架通过加密,散列和多项式方法有效地保护IoEV的数据和能源交易.
- 该模型成功地满足了在越来越多的电动汽车集成背景下对有效,安全和可靠的能源管理的需求.
结论:
- 开发的基于区块链的框架为电动汽车互联网的能源管理和交易提供了安全高效的解决方案.
- 梅飞优化算法显著改善了电动汽车能源交易的关键性能指标.
- 这项研究为下一代电动汽车集成提供了基础,提高了能源交易中的隐私和可靠性.
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