In this paper, a system for controlling the energy flow of vehicle with multiple energy storages which are used for increasing performance and driving range is presented. For achieving maximal performance and efficiency of energy flow control, traction profile of the route is necessarily known. For observation of a traction profile, Global Navigation Satellite System is used. For energy flow control, three algorithms are presented. The first proposed algorithm uses the whole traction profile of a predetermined route by the driver so the control algorithm can decide the energy of the second energy storage efficient. The second algorithm eliminates the biggest disadvantage of predetermining route, so the algorithm uses traction profile from the memory of stored routes where the vehicle was already driven. If the route was not defined or found in memory energy of secondary energy storage, (supercapacitor) using will be based on the current of primary energy storage (batteries). For verification of proposal algorithms for control of DC/DC converter which is used for energy flow control, inverter and motor were simulated with programmable load and programmable power supply.

在本文中，提出了一种用于控制具有多个储能器的车辆的能量流的系统，该系统用于提高性能和行驶距离。为了实现能量流控制的最大性能和效率，必须知道路线的牵引曲线。为了观察牵引剖面，使用了全球导航卫星系统。对于能量流控制，提出了三种算法。所提出的第一个算法使用驾驶员预定路线的整个牵引曲线，因此控制算法可以确定第二能量存储效率的能量。第二种算法消除了预先确定路线的最大弊端，因此该算法使用了已行驶车辆的存储路线内存中的牵引曲线。如果未在次级能量存储的存储能量中定义或找到该路线，则（超级电容器）的使用将基于一次能量存储（电池）的电流。为了验证用于能量流控制的控制DC / DC转换器的建议算法，对具有可编程负载和可编程电源的逆变器和电动机进行了仿真。