Advances in Materials and Fabrication of Separators in Supercapacitors

Supercapacitors (SCs) have been extensively used in advanced energy applications due to their superior energy storage capacity and rapid charge – discharge rate. The significant constituents of a SC include...

Enhancing Energy Storage Capacity of Graphene Supercapacitors via Solar Heating

Enhancing the energy storage capacity of supercapacitors is facing great challenges. Converting solar into heat has emerged as a promising strategy to enhance the capacity of energy storage devices by...

A New On-board Charging-Driving Integrated Topology for V2G Technology

The performance of batteries and on-board chargers (such as the volume in the car, energy storage capacity and charging speed) needs to be improved, which has become one of the main factors restricting the development of electric vehicles. The development of Vehicles to Grid technology puts forward higher requirements for chargers. With the development of Vehicles to Grid (V2G) technology, more realizable functions put forward higher requirements for chargers. To solve the problem of charging system in electric vehicle, a charging-driving integrated topology was designed, which makes full use of two-stator motor and inverters to be transformed to a charging system. The supercapacitor and the battery are used to form the hybrid power system. In the driving mode, the startup and acceleration performance of the vehicle are improved. In the charging mode, the various functions of Vehicles to Grid technology can be satisfied, and the electrical isolation is realized. This topology not only improves the power, but also greatly reduces the charging/discharging times of the battery, and improves the overall performance of the system. The feasibility is verified by simulation.

Optimal Allocation Algorithm of Grid Side Energy Storage Capacity under Large Scale Wind Farm Connection

For grid energy storage capacity configuration is not reasonable, problems such as instability in crossing the river power fluctuations, are proposed based on a large scale wind power grid side under the condition of energy storage capacity of the optimal allocation algorithm, through the use of large-scale wind farm access method to achieve the optimal design of power grid model, so as to quickly solve the micro grid energy storage capacity planning cost and energy consumption data, according to the results. The operation parameters, energy loss and other numerical values of the model in the power grid are controlled, and according to the calculation results. Finally, the experiment proves that the optimization configuration algorithm of the power grid side energy storage capacity under the large-scale wind farm access has higher practicability and accuracy in the practical application process, and fully meets the research requirements.