An efficient online energy distribution management system based on predictive control

An efficient online energy-distribution management system (EMS) that ensures cells operate under optimized conditions, is critical for the high performance and long-term service of large energy storage or generation systems. In this work, a novel two-level structure EMS based on model predictive control (MPC) is proposed to achieve fast energy balance with high-efficiency. The topology of the EMS is that cells are divided into several modules and each module connected in parallel with a bi-directional DC-DC converter, where the outputs of DC-DC converters are serially connected to obtain a higher DC bus voltage. Then the issues of energy deviations among cells are resolved by a two-level structure EMS which consists of an energy-distributing intra-group balance layer and a cell package current-distributing inter-group balance layer. Based on the EMS topology, an MPC is employed in each module to improve the balance speed while maintaining the stability of the DC-DC converter output voltage. Moreover, the parameters of the controller are optimized via simulation study. Finally, the EMS performance is validated by a hardware-in-loop platform and compared with existing EMS. The experimental results show that the proposed EMS can realize quick and accurate energy balance with low energy loss.

Automated summary

In this work, a novel two-level structure energy-distribution management system based on model predictive control (MPC) is proposed to achieve fast and efficient energy balance. The system divides cells into modules and connects them in series and parallel to resolve the issues of energy deviations among cells. Experimental results show that the system can achieve quick and accurate energy balance with low energy loss.