In the realm of energy storage and electric vehicles, researchers are continually seeking ways to optimize power distribution and improve system efficiency. Among these researchers is Kai Lin, affiliated with a leading institution in the field, who has been exploring innovative strategies for managing hybrid energy storage systems (HESS).
Lin’s recent study focuses on a combination of lithium batteries and supercapacitors, a pairing that has shown promise in addressing some of the limitations of lithium batteries alone. The research, published in the Journal of Energy Storage, highlights the challenges faced by electric vehicles that rely solely on lithium batteries. These vehicles often struggle to deliver high power in short bursts, which is crucial for high acceleration performance. Moreover, excessive discharge currents can lead to overheating, posing safety risks.
To tackle these issues, Lin proposes an intelligent energy management strategy that combines a fuzzy controller with an improved Savitzky-Golay filter. This approach aims to optimize the distribution of power between the lithium batteries and supercapacitors in real-time. The simulation results are promising: the strategy reduces the maximum current of the battery by 14.60% and increases the usable cycle life of the battery by 57.31% during a test driving cycle.
The study also delves into the impact of variations in supercapacitor monomers within the same HESS. The findings suggest that future advancements in supercapacitor technology could lead to a significant reduction in the volume and mass of the energy storage system, potentially decreasing it by 31.58%.
For the energy sector, particularly the electric vehicle industry, these findings could pave the way for more efficient and safer energy storage solutions. By optimizing the use of hybrid energy storage systems, manufacturers can enhance vehicle performance, extend battery life, and improve overall safety. This research underscores the importance of continued innovation in energy storage technologies to meet the evolving demands of the energy industry.
This article is based on research available at arXiv.

