摘要
针对不同道路交通状况下电动汽车充电路径选择问题,提出一种路况信息影响下的电动汽车充电路径规划方法。首先,通过互联网将充电资源信息、道路网及交通状况有机结合起来,建立包括充电资源、道路交通网及路况信息三方面的充电路径规划模型。在此基础上,对路况信息影响下的电动汽车充电路径规划进行了研究。通过Web服务器、数据库的搭建和Dijkstra算法对最优充电路径的计算及前端地图接口对交通路网的显示实现了对该系统的样例。实现结果表明,该电动汽车充电路径规划方法,能够基于不同道路情况规划行之有效的充电路线。除此之外,在实现方式上采用浏览器/服务器的模式也能为智能充电的研究提供参考。
To implement the electric car charging path selection under different influence of traffic information, an intelligent charging path planning strategy of electric car was proposed. Firstly, the Interact was used to combine the recharging resouree, road net with live traffic. Three models were set up, ineluding recharge resource model, traffic net model, and traffic condition model. Furtherore, on the basis of three models, the electric car intelligent charging path planning strategy under the influence of traffie information was studied. Finally, Through the use of Web servers, database and map API, the sample was established. The results show that the electric car intelligent charging path planning strategy is an effective method to solve practical problems. Beyond, the way of implementation can provide the reference to future research.
出处
《计算机应用》
CSCD
北大核心
2016年第A02期282-285,共4页
journal of Computer Applications
