摘要
随着全球能源危机和环境污染问题的日益严峻，新能源汽车作为可持续交通的重要组成部分，其普及已成为必然趋势。然而，充电桩基础设施建设与智能化管理水平的不足严重制约了新能源汽车的发展。为解决这一问题，本研究聚焦于新能源汽车充电桩的智能控制与优化设计，旨在通过技术创新提升充电效率、降低运营成本并改善用户体验。研究采用多目标优化算法与物联网技术相结合的方法，构建了一套基于实时数据采集与分析的智能充电管理系统。该系统能够动态调整充电功率分配，实现负载均衡，并结合用户行为预测优化充电调度策略。实验结果表明，所提出的智能控制系统可显著提高充电桩利用率，减少电网波动影响，并有效缩短用户等待时间。此外，本研究创新性地引入了分布式储能单元与可再生能源接入机制，进一步增强了系统的经济性和环保性。总体而言，本研究不仅为新能源汽车充电桩的智能化发展提供了理论支持和技术路径，还为未来智慧交通体系的构建奠定了重要基础。
关键词：新能源汽车；智能充电管理；多目标优化
Abstract
As the global energy crisis and environmental pollution become increasingly severe, new energy vehicles (NEVs), as a critical component of sustainable transportation, are gaining prominence, and their popularization has become an inevitable trend. However, the insufficient development of charging infrastructure and intelligent management significantly hinders the advancement of NEVs. To address this issue, this study focuses on the intelligent control and optimized design of NEV charging piles, aiming to enhance charging efficiency, reduce operational costs, and improve user experience through technological innovation. By integrating multi-ob jective optimization algorithms with Internet of Things (IoT) technology, a smart charging management system based on real-time data acquisition and analysis was developed. This system can dynamically adjust power distribution to achieve load balancing while optimizing charging scheduling strategies through user behavior prediction. Experimental results demonstrate that the proposed intelligent control system substantially increases the utilization rate of charging piles, mitigates grid fluctuation impacts, and effectively reduces user waiting times. Furthermore, this study innovatively incorporates distributed energy storage units and renewable energy integration mechanisms, enhancing the system's economic viability and environmental sustainability. Overall, this research not only provides theoretical support and technical pathways for the intelligent development of NEV charging piles but also lays a significant foundation for the construction of future smart transportation systems.
Keywords：New Energy Vehicle; Intelligent Charging Management; Multi-ob jective Optimization
目 录
摘要 I
Abstract II
一、绪论 1
(一) 新能源汽车充电桩研究背景与意义 1
(二) 智能控制与优化设计的研究现状 1
(三) 本文研究方法与技术路线 2
二、新能源汽车充电桩智能控制系统设计 2
(一) 智能控制的核心需求分析 2
(二) 控制系统架构设计与实现 3
(三) 关键技术在智能控制中的应用 3
三、新能源汽车充电桩优化设计策略 4
(一) 充电桩效率优化的设计原则 4
(二) 能耗管理与优化算法研究 4
(三) 用户体验导向的优化设计 5
四、新能源汽车充电桩的实际应用与性能评估 6
(一) 实际应用场景分析与测试 6
(二) 系统性能评估指标体系 6
(三) 优化效果验证与改进建议 7
结 论 9
参考文献 10
随着全球能源危机和环境污染问题的日益严峻，新能源汽车作为可持续交通的重要组成部分，其普及已成为必然趋势。然而，充电桩基础设施建设与智能化管理水平的不足严重制约了新能源汽车的发展。为解决这一问题，本研究聚焦于新能源汽车充电桩的智能控制与优化设计，旨在通过技术创新提升充电效率、降低运营成本并改善用户体验。研究采用多目标优化算法与物联网技术相结合的方法，构建了一套基于实时数据采集与分析的智能充电管理系统。该系统能够动态调整充电功率分配，实现负载均衡，并结合用户行为预测优化充电调度策略。实验结果表明，所提出的智能控制系统可显著提高充电桩利用率，减少电网波动影响，并有效缩短用户等待时间。此外，本研究创新性地引入了分布式储能单元与可再生能源接入机制，进一步增强了系统的经济性和环保性。总体而言，本研究不仅为新能源汽车充电桩的智能化发展提供了理论支持和技术路径，还为未来智慧交通体系的构建奠定了重要基础。
关键词：新能源汽车；智能充电管理；多目标优化
Abstract
As the global energy crisis and environmental pollution become increasingly severe, new energy vehicles (NEVs), as a critical component of sustainable transportation, are gaining prominence, and their popularization has become an inevitable trend. However, the insufficient development of charging infrastructure and intelligent management significantly hinders the advancement of NEVs. To address this issue, this study focuses on the intelligent control and optimized design of NEV charging piles, aiming to enhance charging efficiency, reduce operational costs, and improve user experience through technological innovation. By integrating multi-ob jective optimization algorithms with Internet of Things (IoT) technology, a smart charging management system based on real-time data acquisition and analysis was developed. This system can dynamically adjust power distribution to achieve load balancing while optimizing charging scheduling strategies through user behavior prediction. Experimental results demonstrate that the proposed intelligent control system substantially increases the utilization rate of charging piles, mitigates grid fluctuation impacts, and effectively reduces user waiting times. Furthermore, this study innovatively incorporates distributed energy storage units and renewable energy integration mechanisms, enhancing the system's economic viability and environmental sustainability. Overall, this research not only provides theoretical support and technical pathways for the intelligent development of NEV charging piles but also lays a significant foundation for the construction of future smart transportation systems.
Keywords：New Energy Vehicle; Intelligent Charging Management; Multi-ob jective Optimization
目 录
摘要 I
Abstract II
一、绪论 1
(一) 新能源汽车充电桩研究背景与意义 1
(二) 智能控制与优化设计的研究现状 1
(三) 本文研究方法与技术路线 2
二、新能源汽车充电桩智能控制系统设计 2
(一) 智能控制的核心需求分析 2
(二) 控制系统架构设计与实现 3
(三) 关键技术在智能控制中的应用 3
三、新能源汽车充电桩优化设计策略 4
(一) 充电桩效率优化的设计原则 4
(二) 能耗管理与优化算法研究 4
(三) 用户体验导向的优化设计 5
四、新能源汽车充电桩的实际应用与性能评估 6
(一) 实际应用场景分析与测试 6
(二) 系统性能评估指标体系 6
(三) 优化效果验证与改进建议 7
结 论 9
参考文献 10
