Comparison of Advanced Charge Strategies for Modular Cascaded Battery Chargers

Although the literature extensively covers the development of battery chargers control strategies, a comparison of these strategies remains a literary gap. The inherent conditions (i.e., State of Health and State of Charge) of each unit in the Battery Energy Storage Systems directly influence the charger control techniques for extending battery lifetime, which makes modular battery chargers an appealing topology for this analysis. This work groups charger control strategies presented in the literature into two: Adapted SoC strategies, directly linked to the field of overstress management, and SoH strategies, which are directly linked to the field of wear-out management. The methodology for comparing the control strategies encompasses battery lifetime, charger, and photovoltaic plant models. Three distinct cases were simulated using real measure data from a solar power plant and a battery model provided by MathWorks(R). The results evidence that the Capacity Fade and Energy Throughput strongly depend on the strategy. The controller action evidences the previous statement, as the strategies have different goals that are related to each field. Furthermore, this work analyses the effect of the estimation process in the action of the controller.

Automated summary

Despite extensive coverage in the literature on the development of battery chargers control strategies, there remains a gap in comparing these strategies. This work categorizes charger control strategies into Adapted SoC strategies, related to overstress management, and SoH strategies, related to wear-out management. The methodology involves comparing battery lifetime, charger, and photovoltaic plant models, with simulations using real measure data from a solar power plant and a battery model provided by MathWorks(R).