针对目前很多型号的电动汽车电池管理系统(battery management system,BMS)与居民小区内的慢充充电桩不能正常通信的问题,依据确定性分析法,以倒序递推原则安排电动汽车的充电开始时间,研究了一种不采集电动汽车电池荷电状态(state of c...针对目前很多型号的电动汽车电池管理系统(battery management system,BMS)与居民小区内的慢充充电桩不能正常通信的问题,依据确定性分析法,以倒序递推原则安排电动汽车的充电开始时间,研究了一种不采集电动汽车电池荷电状态(state of charge,SOC)来实现小区内电动汽车群(aggregator)有序充电的控制方法,并以小区配电网为例,采用蒙特卡洛方法模拟用户到达时间,对电动汽车在无序充电、总负荷最低时段充电和倒序递推时段充电3种充电模式下配电变压器的负载情况进行了仿真和分析,结果表明,在倒序递推时段充电能显著减小电网峰谷差率,不会产生新的负荷尖峰,适用于实际应用。展开更多
The internet of things(IoT)has been widely considered to be integrated with high-speed railways to improve safety and service.It is important to achieve reliable communication in IoT for railways(IoT-R)under high mobi...The internet of things(IoT)has been widely considered to be integrated with high-speed railways to improve safety and service.It is important to achieve reliable communication in IoT for railways(IoT-R)under high mobility scenarios and strict energy constraints.Orthogonal time frequency space(OTFS)modulation is a two-dimensional modulation technique that has the potential to overcome the challenges in high Doppler environments.In addition,OTFS can have lower peak-to-average power ratio(PAPR)compared to orthogonal frequency division multiplexing,which is especially important for the application of IoT-R.Therefore,OTFS modulation for IoT-R is investigated in this paper.In order to decrease PAPR of OTFS and promote the application of OTFS modulation in IoT-R,the peak windowing technique is used in this paper.This technique can reduce the PAPR of OTFS by reducing the peak power and does not require multiple iterations.The impacts of different window functions,window sizes and clipping levels on PAPR and bit error rate of OTFS are simulated and discussed.The simulation results show that the peak windowing technique can efficiently reduce the PAPR of OTFS for IoT-R.展开更多
文摘针对目前很多型号的电动汽车电池管理系统(battery management system,BMS)与居民小区内的慢充充电桩不能正常通信的问题,依据确定性分析法,以倒序递推原则安排电动汽车的充电开始时间,研究了一种不采集电动汽车电池荷电状态(state of charge,SOC)来实现小区内电动汽车群(aggregator)有序充电的控制方法,并以小区配电网为例,采用蒙特卡洛方法模拟用户到达时间,对电动汽车在无序充电、总负荷最低时段充电和倒序递推时段充电3种充电模式下配电变压器的负载情况进行了仿真和分析,结果表明,在倒序递推时段充电能显著减小电网峰谷差率,不会产生新的负荷尖峰,适用于实际应用。
基金supported by the National Key R&D Program of China under Grant 2022YFF0608103the National Natural Science Foundation of China under Grant 62001519 and 62271037。
文摘The internet of things(IoT)has been widely considered to be integrated with high-speed railways to improve safety and service.It is important to achieve reliable communication in IoT for railways(IoT-R)under high mobility scenarios and strict energy constraints.Orthogonal time frequency space(OTFS)modulation is a two-dimensional modulation technique that has the potential to overcome the challenges in high Doppler environments.In addition,OTFS can have lower peak-to-average power ratio(PAPR)compared to orthogonal frequency division multiplexing,which is especially important for the application of IoT-R.Therefore,OTFS modulation for IoT-R is investigated in this paper.In order to decrease PAPR of OTFS and promote the application of OTFS modulation in IoT-R,the peak windowing technique is used in this paper.This technique can reduce the PAPR of OTFS by reducing the peak power and does not require multiple iterations.The impacts of different window functions,window sizes and clipping levels on PAPR and bit error rate of OTFS are simulated and discussed.The simulation results show that the peak windowing technique can efficiently reduce the PAPR of OTFS for IoT-R.
