CN112073522A - 一种基于手机功能的电动汽车充电的实现方法 - Google Patents

一种基于手机功能的电动汽车充电的实现方法 Download PDF

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CN112073522A
CN112073522A CN202010950473.3A CN202010950473A CN112073522A CN 112073522 A CN112073522 A CN 112073522A CN 202010950473 A CN202010950473 A CN 202010950473A CN 112073522 A CN112073522 A CN 112073522A
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贾宝华
陈新建
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Jiangsu Xiaobaitu Intelligent Manufacturing Technology Co Ltd
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/01—Protocols
    • H04L67/02—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP]
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
    • B60L53/00—Methods of charging batteries, specially adapted for electric vehicles; Charging stations or on-board charging equipment therefor; Exchange of energy storage elements in electric vehicles
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
    • B60L53/00—Methods of charging batteries, specially adapted for electric vehicles; Charging stations or on-board charging equipment therefor; Exchange of energy storage elements in electric vehicles
    • B60L53/60—Monitoring or controlling charging stations
    • B60L53/66—Data transfer between charging stations and vehicles
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/01—Protocols
    • H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
    • H04L67/125—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks involving control of end-device applications over a network
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T10/00—Road transport of goods or passengers
    • Y02T10/60—Other road transportation technologies with climate change mitigation effect
    • Y02T10/70—Energy storage systems for electromobility, e.g. batteries
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T10/00—Road transport of goods or passengers
    • Y02T10/60—Other road transportation technologies with climate change mitigation effect
    • Y02T10/7072—Electromobility specific charging systems or methods for batteries, ultracapacitors, supercapacitors or double-layer capacitors
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y02T90/10—Technologies relating to charging of electric vehicles
    • Y02T90/12—Electric charging stations
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y02T90/10—Technologies relating to charging of electric vehicles
    • Y02T90/14—Plug-in electric vehicles
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y02T90/10—Technologies relating to charging of electric vehicles
    • Y02T90/16—Information or communication technologies improving the operation of electric vehicles

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Abstract

本发明公开了一种基于手机功能的电动汽车充电的实现方法，首先用户通过手机APP发送电动汽车充电请求到web服务处理中心，Web服务处理中心收到请求后转送到充电机器人调度中心。充电机器人调度中心根据该请求查找当前处于空闲可操作状态的充电机器人，给确定后的充电机器人发送充电指令。充电机器人接收该指令到指定车位为用户的电动车充电，充电机器人完成充电后会自动脱离，并且根据路径导航系统找到停车场的充电桩进行自我充电。通过本发明电动车的用户可以利用零碎时间进行短时间的快充，有效解决了续航的问题，同时因为只需一键操作即可完成充电，使用非常便捷。

Description

一种基于手机功能的电动汽车充电的实现方法
技术领域
本发明属于车辆交通控制系统中的车辆充电技术领域，具体涉及一种基于手机功能的电动汽车充电的实现方法。
背景技术
随着汽车拥有量的快速增长，停车难的问题日益突出。将物联网技术与通信技术运用到停车场管理，实现智能停车场管理系统的研究与开发是当今工业控制领域的热点技术之一。
停车机器人是一种用于辅助停车的设备，其工作的全过程均由程序控制，目前停车机器人已经非常广泛运用于智能停车领域。随着城市汽车数量的不断增加，立体停车场由于具备空间利用率高、有效节省土地资源和土建开发成本等优点，将是未来停车场发展的主流趋势。
Dijkstra算法是由荷兰计算机科学家狄克斯特拉于1959年提出的，目的是寻求从一个顶点到其余各顶点的最短路径，即有权图中最短路径问题。Dijkstra算法主要特点是从起始点开始，采用贪心算法的策略，每次遍历到始点距离最近且未访问过的顶点的邻接节点，直到扩展到终点为止。将Dijkstra算法应用于充电机器人在停车场的路径规划以满足停车场的电动车充电需求目前还没有相关文献的披露。
发明内容
本发明针对上述现有技术中存在的上述问题，提出一种基于手机功能的电动车的用户可以利用零碎时间进行短时间的便捷式快充的解决方案。
为实现上述目的，本发明采用的技术方案为一种基于手机功能的电动汽车充电的实现方法，具体包含以下步骤：
S1：用户通过手机APP发送电动汽车充电请求到web服务处理中心；
S2：Web服务处理中心收到请求后转送到充电机器人调度中心；
S3：充电机器人调度中心根据该请求查找当前处于空闲可操作状态的充电机器人；
S4：给确定后的充电机器人发送充电指令；
S5：充电机器人接收该指令到指定车位为用户的电动车充电；
S6：充电机器人完成充电后会自动脱离，并且根据路径导航系统找到停车场的充电桩进行自我充电。
作为优选，步骤S3中所述可操作状态是指充电机器人的电池剩余电量不低于70％，也可以设定为其他值。
作为优选，步骤S5中充电机器人到指定车位的路径是基于Dijkstra算法的运算结果。
同理，步骤S6中充电机器人到停车场的充电桩的路径也可以是基于Dijkstra算法的运算结果。
为确保充电机器人的快速周转，特别是充电的需求比较集中的时间段，步骤S6中，充电机器人完成充电自动脱离后如果电池剩余电量不低于70％则不需寻找充电桩进行自我充电，直接等待指示去完成下一个充电任务。
本发明还可以可以对用户身份做判断，等级越高则充电的优先级就越高，以满足用户个性化的需求。
与现有技术相比，本发明具有以下的有益技术效果：
1，通过本发明电动车的用户可以利用零碎时间进行短时间的快充，有效解决了续航的问题，同时因为只需一键操作即可完成充电，使用非常便捷。
2，由于利用了Dijkstra算法进行最近距离的运算，就可以确保充电机器人的运行路径得到大幅的优化，显著提高了充电的效率。
3，本发明可以对用户身份进行判断，等级越高，赋予其道路拥有的优先级就越高，这样能够为客户提供个性化的服务，停车场的整体效率也得到了显著的提升。
附图说明
图1为本发明的流程示意图。
具体实施方式
现结合附图对本发明作进一步详细的说明。
基于手机功能的电动汽车充电方法的流程图如图1所示。现做详细说明如下：
用户通过手机APP发送电动汽车充电请求到web服务处理中心，比如用手机APP的功能发送请求到web api的服务器。Web服务处理中心或api服务器收到请求后转送到充电机器人调度中心或服务器。充电机器人调度中心根据该请求查找当前处于空闲可操作状态的充电机器人，给确定后的充电机器人发送充电指令。充电机器人接收该指令到指定车位为用户的电动车充电，充电机器人完成充电后会自动脱离，并且根据路径导航系统找到停车场的充电桩进行自我充电。
上述可操作状态是指充电机器人空闲且电池剩余电量不低于某个设定值，比如70％，也可以设定为其他值。
为提高充电机器人的寻址效率，步骤S5中充电机器人到指定车位的路径是基于Dijkstra算法的运算结果。
同理，步骤S6中充电机器人到停车场的充电桩的路径也可以是基于Dijkstra算法的运算结果。
鉴于学校、商场等场所存在充电的需求比较集中时间段的特点，为确保充电机器人的快速周转，步骤S6中充电机器人完成充电自动脱离后如果电池剩余电量不低于70％则不需寻找充电桩进行自我充电，直接等待指示去完成下一个充电任务。
本发明还可以可以对用户身份做判断，等级越高则充电的优先级就越高，以满足用户个性化的需求。
通过本发明电动车的用户可以利用零碎时间进行短时间的快充，有效解决了续航的问题，同时因为只需一键操作即可完成充电，使用非常便捷。
本发明利用了Dijkstra算法进行最近距离的运算，就可以确保充电机器人的运行路径得到大幅的优化，显著提高了充电的效率。
需要说明的是，以上具体实施方式的描述并不用以限制本发明，凡在本发明的精神和原则之内所作的任何修改、等同替换、改进等，均应包含在本发明的保护范围之内。

Claims (6)

1.一种基于手机功能的电动汽车充电的实现方法，其特征在于包含以下步骤：
S1：用户通过手机APP发送电动汽车充电请求到web服务处理中心；
S2：Web服务处理中心收到请求后转送到充电机器人调度中心；
S3：充电机器人调度中心根据该请求查找当前处于空闲可操作状态的充电机器人；
S4：给确定后的充电机器人发送充电指令；
S5：充电机器人接收该指令到指定车位为用户的电动车充电；
S6：充电机器人完成充电后会自动脱离，并且根据路径导航系统找到停车场的充电桩进行自我充电。
2.根据权利要求1所述的基于手机功能的电动汽车充电的实现方法，其特征在于步骤S3中所述可操作状态是指充电机器人的电池剩余电量不低于70％。
3.根据权利要求1所述的基于手机功能的电动汽车充电的实现方法，其特征在于步骤S5中充电机器人到指定车位的路径是基于Dijkstra算法的运算结果。
4.根据权利要求1所述的基于手机功能的电动汽车充电的实现方法，其特征在于步骤S6中充电机器人到停车场的充电桩的路径是基于Dijkstra算法的运算结果。
5.根据权利要求1所述的基于手机功能的电动汽车充电的实现方法，其特征在于步骤S6中充电机器人完成充电自动脱离后如果电池剩余电量不低于70％则不需寻找充电桩进行自我充电。
6.根据权利要求1所述的基于手机功能的电动汽车充电的实现方法，其特征在于可以对用户身份做判断，等级越高充电的优先级就越高。
CN202010950473.3A 2020-09-11 2020-09-11 一种基于手机功能的电动汽车充电的实现方法 Withdrawn CN112073522A (zh)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113505931A (zh) * 2021-07-19 2021-10-15 温州大学 一种基于遗传算法的充电机器人动态调度优化方法

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113505931A (zh) * 2021-07-19 2021-10-15 温州大学 一种基于遗传算法的充电机器人动态调度优化方法
CN113505931B (zh) * 2021-07-19 2024-02-27 温州大学 一种基于遗传算法的充电机器人动态调度优化方法

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