This paper presents a real-time power split strategy for a battery-supercapacitor hybrid energy storage system. The objective of the proposed strategy is to alleviate battery degradation through effective supercapacitor utilization. The proposed strategy employs an adaptive neural fuzzy inference system, which is capable of learning a power split strategy from offline optimization results and distributing power in real-time. The performance of the strategy proposed and a low pass filtering technique is compared through simulations. The results demonstrate that the proposed method can effectively reduce battery capacity loss and perform well under unknown driving cycles in real time.
|Title of host publication||International Conference on Advanced Robotics and Mechatronics (ICARM)|
|Place of Publication||Piscataway, NJ, USA|
|Number of pages||6|
|ISBN (Electronic)||9798350300178, 9798350300161|
|Publication status||Published - 8 Jul 2023|