CN107914587A - 一种新能源电动汽车的充电方法 - Google Patents
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- Y02T10/60—Other road transportation technologies with climate change mitigation effect
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- 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
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- 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
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- 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
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- 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
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- 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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- 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
- Y02T90/167—Systems integrating technologies related to power network operation and communication or information technologies for supporting the interoperability of electric or hybrid vehicles, i.e. smartgrids as interface for battery charging of electric vehicles [EV] or hybrid vehicles [HEV]
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- 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
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S30/00—Systems supporting specific end-user applications in the sector of transportation
- Y04S30/10—Systems supporting the interoperability of electric or hybrid vehicles
- Y04S30/12—Remote or cooperative charging
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Abstract
一种新能源电动汽车的充电方法,具体步骤为:1)、电动汽车远程预约充电;2)、充电站云计算综合服务中心通过读取车主手机发送剩余电量信息;3)、充电站云计算平台信息综合服务端将电动汽车车辆信息通过Internet网络发送给充电站后台服务管理系统;4)、电动汽车驶入充电站,充电装置开始对电动汽车进行充电。本发明,采用基于灰色模型预测理论的充电终止判断,通过采样过去的五组电池电压电流数据,利用GM(1,I)模型预测未来时刻的充电电压,可以有效地避免对电池的过充,提高了电池寿命。
Description
技术领域
本发明涉及新能源汽车,尤其是一种电动汽车车载充电机智能充电方法。
背景技术
电动汽车拥有着节能环保、低排放等方面的优势,已成为现代汽车行业中最有发展前景的一个领域。电动汽车的快速发展,也给电动汽车动力电池充电装置带来了更高要求,具体为:充电快速性,电池无损伤性,充电安全可靠性。如今电动汽车充电市场上充电系统缺点可以归纳为以下几类:1、充电方法采用恒流恒压三阶段充电方法或正负脉冲充电。在充电前期,电池可接受大电流充电,而充电后期,电池极化现象严重,充电缓慢,三阶段充电方式不能解决充电后期电池极化现象,而脉冲充电在前期存在停充浪费了充电时间。2、去极化电路拓扑结构上,一般在电池两端串联电阻,利用电阻放电来消除电池极化现象,不仅浪费能量同时也对整个充电系统的散热提出了更高的要求,增加了成本也影响了安全性。3、充电结束判断一般采用定时或者电流零增量等综合方法,这些方法都是在采样电压后才做出停充判断,这实际上已经对电池造成了损害,降低了电池寿命。
发明内容
针对以上问题,本发明的目的在于提供一种新能源电动汽车的充电方法,是对采集车载充电机输出的负载侧项目参数,并将所采集的数据实时传输到工控机,对接收的数据计算分析,得到转换效率、纹波系数、稳压精度、稳流精度和充电曲线。
本发明的技术方案是通过以下方式实现的:一种新能源电动汽车的充电方法,具体步骤为:
1)、电动汽车远程预约充电;车主将自己手机与车内智能车载终端通过蓝牙方式进行连接,在电动汽车待驶入充电站前期,车主通过手机与充电站云计算平台信息综合服务中心建立联系,充电站云计算平台信息综合服务中心通过远程监控车主手机信号为其建立联系,智能车载终端通过Flexray总线将车载电池信息及BMS充电控制协议通过手机短信息远程传送给充电站云计算平台信息综合服务端,实行预约排队充电;
2)、充电站云计算综合服务中心通过读取车主手机发送剩余电量信息为其提供最近可抵达的充电站,并为其下载附近充电站地图数据,提供路径导航服务;
3)、充电站云计算平台信息综合服务端将电动汽车车辆信息通过Internet网络发送给充电站后台服务管理系统,充电站后台服务管理系统根据电动汽车车辆信息进行智能判断,若车主想更换电池,可根据车主汽车电池型号来对比充电站内同类电池存量来判断是否可为其提供更换电池,若在车主车辆剩余电量范围内可为其提供更换电池,车主手机通过读取充电站云计算平台服务中心发送信息驶入可更换电池充电站,若无法更换电池,车主选择进入充电站进行充电,充电站根据信息调整后续充电參数;
4)、电动汽车驶入充电站,充电装置开始对电动汽车进行充电。所述步骤一的具体步骤为电动汽车通过车主手机短信息方式将车载电池信息及BMS充电控制协议运程传送给充电站云计算平台信息综合服务端,实现预约排队充换电服务,并给待申请车辆根据车主手机号码批准充电预约号码。
本发明,采用基于灰色模型预测理论的充电终止判断,通过采样过去的五组电池电压电流数据,利用GM(1,I)模型预测未来时刻的充电电压,可以有效地避免对电池的过充,提高了电池寿命。 具体实施方式
本发明电动汽车充电方法,具体步骤为:
1、电动汽车远程预约充电;车主将自己手机与车内智能车载终端通过蓝牙方式进行连接,在电动汽车待驶入充电站前期,车主通过手机与充电站云计算平台信息综合服务中心建立联系,充电站云计算平台信息综合服务中心通过远程监控车主手机信号为其建立联系,智能车载终端通过Flexray总线将车载电池信息及BMS充电控制协议通过手机短信息远程传送给充电站云计算平台信息综合服务端,实行预约排队充电;
2、充电站云计算综合服务中心通过读取车主手机发送剩余电量信息为其提供最近可抵达的充电站,并为其下载附近充电站地图数据,提供路径导航服务;
3、充电站云计算平台信息综合服务端将电动汽车车辆信息通过Internet网络发送给充电站后台服务管理系统,充电站后台服务管理系统根据电动汽车车辆信息进行智能判断,若车主想更换电池,可根据车主汽车电池型号来对比充电站内同类电池存量来判断是否可为其提供更换电池,若在车主车辆剩余电量范围内可为其提供更换电池,车主手机通过读取充电站云计算平台服务中心发送信息驶入可更换电池充电站,若无法更换电池,车主选择进入充电站进行充电,充电站根据信息调整后续充电參数;
4、电动汽车驶入充电站,充电装置开始对电动汽车进行充电。所述步骤一的具体步骤为电动汽车通过车主手机短信息方式将车载电池信息及BMS充电控制协议运程传送给充电站云计算平台信息综合服务端,实现预约排队充换电服务,并给待申请车辆根据车主手机号码批准充电预约号码。
Claims (1)
1.一种新能源电动汽车的充电方法,具体步骤为:
1)、电动汽车远程预约充电;车主将自己手机与车内智能车载终端通过蓝牙方式进行连接,在电动汽车待驶入充电站前期,车主通过手机与充电站云计算平台信息综合服务中心建立联系,充电站云计算平台信息综合服务中心通过远程监控车主手机信号为其建立联系,智能车载终端通过Flexray总线将车载电池信息及BMS充电控制协议通过手机短信息远程传送给充电站云计算平台信息综合服务端,实行预约排队充电;
2)、充电站云计算综合服务中心通过读取车主手机发送剩余电量信息为其提供最近可抵达的充电站,并为其下载附近充电站地图数据,提供路径导航服务;
3)、充电站云计算平台信息综合服务端将电动汽车车辆信息通过Internet网络发送给充电站后台服务管理系统,充电站后台服务管理系统根据电动汽车车辆信息进行智能判断,若车主想更换电池,可根据车主汽车电池型号来对比充电站内同类电池存量来判断是否可为其提供更换电池,若在车主车辆剩余电量范围内可为其提供更换电池,车主手机通过读取充电站云计算平台服务中心发送信息驶入可更换电池充电站,若无法更换电池,车主选择进入充电站进行充电,充电站根据信息调整后续充电參数;
4)、电动汽车驶入充电站,充电装置开始对电动汽车进行充电。
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CN110341537A (zh) * | 2019-05-30 | 2019-10-18 | 北京航盛新能科技有限公司 | 一种基于模型预测控制的车载双向充电机充电控制策略 |
CN112848964A (zh) * | 2021-04-01 | 2021-05-28 | 焱牛科技(江苏)有限公司 | 一种智能化换电站的换电方法及其系统 |
CN116405933A (zh) * | 2023-06-08 | 2023-07-07 | 山东赢伦电力科技有限公司 | 一种基于神经网络的能源管理方法及装置 |
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CN102856965A (zh) * | 2012-10-12 | 2013-01-02 | 山东省科学院自动化研究所 | 一种电动汽车充电站智能系统及充电方法 |
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CN102856965A (zh) * | 2012-10-12 | 2013-01-02 | 山东省科学院自动化研究所 | 一种电动汽车充电站智能系统及充电方法 |
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110341537A (zh) * | 2019-05-30 | 2019-10-18 | 北京航盛新能科技有限公司 | 一种基于模型预测控制的车载双向充电机充电控制策略 |
CN112848964A (zh) * | 2021-04-01 | 2021-05-28 | 焱牛科技(江苏)有限公司 | 一种智能化换电站的换电方法及其系统 |
CN116405933A (zh) * | 2023-06-08 | 2023-07-07 | 山东赢伦电力科技有限公司 | 一种基于神经网络的能源管理方法及装置 |
CN116405933B (zh) * | 2023-06-08 | 2023-08-29 | 山东赢伦电力科技有限公司 | 一种基于神经网络的能源管理方法及装置 |
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