Electric vehicles (EVs) are an emerging type of mobile intelligent power consumption devices in Smart Grid as new green transport tools. In order to provide a powerful automation and intelligence support for wide area...Electric vehicles (EVs) are an emerging type of mobile intelligent power consumption devices in Smart Grid as new green transport tools. In order to provide a powerful automation and intelligence support for wide area electric vehicles energy service network, we analyze the network infrastructure and communications demands of various terminals, devices and monitoring systems distributed in wide area electric vehicle energy service network. According to interactive user services scenarios and energy operations intelligent monitoring, we propose multimode communication integration architecture for wide area electric vehicle energy service network by means of the fusion of the Internet of Things (IoT) technology. Then, we design different networking schemes in access networks and backbone transmission networks meeting multi-scene and multi-operation interaction requirements. The networking schemes will provide efficient technical support to implement intelligent, cross-regional, interactive energy services for electric vehicle users.展开更多
The ever-changing battlefield environment requires the use of robust and adaptive technologies integrated into a reliable platform. Unmanned combat aerial vehicles(UCAVs) aim to integrate such advanced technologies wh...The ever-changing battlefield environment requires the use of robust and adaptive technologies integrated into a reliable platform. Unmanned combat aerial vehicles(UCAVs) aim to integrate such advanced technologies while increasing the tactical capabilities of combat aircraft. As a research object, common UCAV uses the neural network fitting strategy to obtain values of attack areas. However, this simple strategy cannot cope with complex environmental changes and autonomously optimize decision-making problems. To solve the problem, this paper proposes a new deep deterministic policy gradient(DDPG) strategy based on deep reinforcement learning for the attack area fitting of UCAVs in the future battlefield. Simulation results show that the autonomy and environmental adaptability of UCAVs in the future battlefield will be improved based on the new DDPG algorithm and the training process converges quickly. We can obtain the optimal values of attack areas in real time during the whole flight with the well-trained deep network.展开更多
This paper describes the control and communication network in fuel cell vehicles, including both the protocol and the hardware. Based on the current protocol (ISO-11898 and SAE J1939), a new practical protocol is prop...This paper describes the control and communication network in fuel cell vehicles, including both the protocol and the hardware. Based on the current protocol (ISO-11898 and SAE J1939), a new practical protocol is proposed and implemented for the control and communication network in fuel cell vehicles. To improve the re-liability of data communication and to unify the network management, a new network system based on dual-port RAM is also implemented.展开更多
编队控制和组网通信是无人机集群保持队形稳定和执行协同任务的前提条件。现有的编队控制算法侧重于队形控制,往往对无人机之间的通信因素考虑较少。针对无人机集群组网编队问题,设计了基于信干噪比(Signal to Interference plus Noise ...编队控制和组网通信是无人机集群保持队形稳定和执行协同任务的前提条件。现有的编队控制算法侧重于队形控制,往往对无人机之间的通信因素考虑较少。针对无人机集群组网编队问题,设计了基于信干噪比(Signal to Interference plus Noise Ratio, SINR)的分布式编队控制算法。该算法兼顾接入覆盖与网络连通性要求,以SINR为参考构建虚拟作用力,能够使无人机以分布式控制的方式自主移动到通信质量更优的位置并维持稳定的拓扑结构。仿真结果表明,该算法可以适用于不同场景,能够在保证网络连通稳定的前提下优化目标区域用户的通信质量,并且具有较高的接入覆盖率和编队稳定性。展开更多
随着配电网中电动汽车规模化接入,其无序充电行为引发的充电负荷增长趋势日益显著,导致配电变压器过载、配电台区网损增大以及负载不均衡等诸多问题。文章围绕配电网台区电动汽车接纳能力提升问题开展研究,针对电动汽车的无序充电行为...随着配电网中电动汽车规模化接入,其无序充电行为引发的充电负荷增长趋势日益显著,导致配电变压器过载、配电台区网损增大以及负载不均衡等诸多问题。文章围绕配电网台区电动汽车接纳能力提升问题开展研究,针对电动汽车的无序充电行为导致配电网运行经济性差、安全运行风险高等问题,提出了基于柔性互联的多配电台区电动汽车充电设施协同优化运行方法,考虑用户参与意愿、充电费用、用户满意度、配电网安全性等,结合智能软开关(soft open point,SOP)功率互送的能力,实现了台区间的互联互供。算例分析证明,文章的方法可降低变压器过载风险,大幅增加台区运行的经济性,通过台区间的柔性互联设备实现充电负荷转移与灵活资源共享,从而大幅提升配电台区对电动汽车的接纳能力。展开更多
文摘Electric vehicles (EVs) are an emerging type of mobile intelligent power consumption devices in Smart Grid as new green transport tools. In order to provide a powerful automation and intelligence support for wide area electric vehicles energy service network, we analyze the network infrastructure and communications demands of various terminals, devices and monitoring systems distributed in wide area electric vehicle energy service network. According to interactive user services scenarios and energy operations intelligent monitoring, we propose multimode communication integration architecture for wide area electric vehicle energy service network by means of the fusion of the Internet of Things (IoT) technology. Then, we design different networking schemes in access networks and backbone transmission networks meeting multi-scene and multi-operation interaction requirements. The networking schemes will provide efficient technical support to implement intelligent, cross-regional, interactive energy services for electric vehicle users.
基金supported by the Key Laboratory of Defense Science and Technology Foundation of Luoyang Electro-optical Equipment Research Institute(6142504200108)。
文摘The ever-changing battlefield environment requires the use of robust and adaptive technologies integrated into a reliable platform. Unmanned combat aerial vehicles(UCAVs) aim to integrate such advanced technologies while increasing the tactical capabilities of combat aircraft. As a research object, common UCAV uses the neural network fitting strategy to obtain values of attack areas. However, this simple strategy cannot cope with complex environmental changes and autonomously optimize decision-making problems. To solve the problem, this paper proposes a new deep deterministic policy gradient(DDPG) strategy based on deep reinforcement learning for the attack area fitting of UCAVs in the future battlefield. Simulation results show that the autonomy and environmental adaptability of UCAVs in the future battlefield will be improved based on the new DDPG algorithm and the training process converges quickly. We can obtain the optimal values of attack areas in real time during the whole flight with the well-trained deep network.
基金Supported by the National High-Tech Research and Devel-opment (863) Program of China (No. 2001AA501100)
文摘This paper describes the control and communication network in fuel cell vehicles, including both the protocol and the hardware. Based on the current protocol (ISO-11898 and SAE J1939), a new practical protocol is proposed and implemented for the control and communication network in fuel cell vehicles. To improve the re-liability of data communication and to unify the network management, a new network system based on dual-port RAM is also implemented.
文摘编队控制和组网通信是无人机集群保持队形稳定和执行协同任务的前提条件。现有的编队控制算法侧重于队形控制,往往对无人机之间的通信因素考虑较少。针对无人机集群组网编队问题,设计了基于信干噪比(Signal to Interference plus Noise Ratio, SINR)的分布式编队控制算法。该算法兼顾接入覆盖与网络连通性要求,以SINR为参考构建虚拟作用力,能够使无人机以分布式控制的方式自主移动到通信质量更优的位置并维持稳定的拓扑结构。仿真结果表明,该算法可以适用于不同场景,能够在保证网络连通稳定的前提下优化目标区域用户的通信质量,并且具有较高的接入覆盖率和编队稳定性。
文摘随着配电网中电动汽车规模化接入,其无序充电行为引发的充电负荷增长趋势日益显著,导致配电变压器过载、配电台区网损增大以及负载不均衡等诸多问题。文章围绕配电网台区电动汽车接纳能力提升问题开展研究,针对电动汽车的无序充电行为导致配电网运行经济性差、安全运行风险高等问题,提出了基于柔性互联的多配电台区电动汽车充电设施协同优化运行方法,考虑用户参与意愿、充电费用、用户满意度、配电网安全性等,结合智能软开关(soft open point,SOP)功率互送的能力,实现了台区间的互联互供。算例分析证明,文章的方法可降低变压器过载风险,大幅增加台区运行的经济性,通过台区间的柔性互联设备实现充电负荷转移与灵活资源共享,从而大幅提升配电台区对电动汽车的接纳能力。
