使用响应表面方法的电动汽车物联网驱动负载自适应式无线充电系统的实验优化
Praful V Nandankar1, Abhay Chaturvedi2, Patan Saleem Akram3
1Department of Electrical Engineering, Government College of Nagpur, Maharashtra, 441108, India.
Scientific reports
|December 10, 2025
概括
本研究介绍了基于物联网 (IoT) 的无线电动汽车 (EV) 充电系统,以提高效率和安全性. 智能系统优化了电力传输和热管理,以获得更好的电动汽车充电体验.
科学领域:
- 电气工程 电气工程
- 计算机科学 计算机科学
- 材料科学 材料科学 材料科学
背景情况:
- 传统的插电式和固定式无线电动汽车 (EV) 充电器在效率和适应性方面存在局限性.
- 现有的系统往往缺乏对功率传输和热管理的智能控制.
- 物联网 (IoT) 的整合为先进的电动汽车充电解决方案提供了潜力.
研究的目的:
- 开发和部署基于物联网的无线电动汽车充电系统,克服传统充电器的缺点.
- 通过实时数据和物联网通信,实现用于输电和热管理的智能控制.
- 通过实验设计优化系统参数,以获得最大的效率和安全性.
主要方法:
- 开发一个共振感应无线充电系统,利用NodeMCU微控制器和消息队列遥测传输 (MQTT) 进行物联网通信.
- 响应表面方法 (RSM) 与中央复合设计 (CCD) 的应用,以优化线圈间隙,输入电压和负载.
- 实时监控表面温度,电流和电压,用于适应性负载调节和热管理.
主要成果:
- 开发的模型表现出高可预测性,R2值为0.962 (R2) 和0.948 (调整后的R2).
- 差异分析 (ANOVA) 显示了显著的相互作用项,F值为65.43 (p < 0.001).
- 与非物联网系统相比,物联网适应系统实现了93.5%的效率,在功率传输中效率提高了7.3%,并将线圈温度降低了24.6%,与有线充电相比,损失最小.
结论:
- 拟议的可配置物联网的无线充电器是统计验证的,符合温度要求,节能.
- 该系统集成了实时传感和经验优化,用于可扩展的智能电网支持的电动汽车充电基础设施.
- 这种先进的系统为高效和安全的无线电动汽车充电提供了强大的解决方案.
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