In this paper, the battery energy storage technology is applied to the traditional EV (electric vehicle) charging piles to build a new EV charging pile with integrated charging, discharging, and storage; Multisim software is used to build an EV charging model in order to simulate the charge control guidance module.
Since the smart charging piles are generally deployed in complex environments and prone to failure, it is significant to perform efficient fault diagnosis and timely maintenance for them.
On the one hand, the energy storage charging pile interacts with the battery management system through the CAN bus to manage the whole process of charging.
The charging pile determines whether the power supply interface is fully connected with the charging pile by detecting the voltage of the detection point. Multisim software was used to build an EV charging model, and the process of output and detection of control guidance signal were simulated and verified.
Bycollecting power consumption informationof the charging control unit of charging piles, the abnormal detection system determines whether charging piles are facing attacks or not.
Combining Figs. 10 and 11, it can be observed that, based on the cooperative effect of energy storage, in order to further reduce the discharge load of charging piles during peak hours, the optimized scheduling scheme transfers most of the controllable discharge load to the early morning period, thereby further reducing users' charging costs.