Guest Editorial: Smart operation and control of energy system for low-carbon applications

Summary: This paper compares four typical fractional-order models for lithium-ion batteries and employs the Runge Kutta optimizer algorithm for model parameter identification. The accuracy for predicting terminal voltage and the time required for parameter identification under different dynamic conditions are compared. The fitted results of the model impedance spectrum and the model parameter values are discussed. This paper provides guidance on modeling and parameter identification for lithium-ion batteries by analyzing different fractional-order models and introducing impedance spectroscopy.

Summary: This paper conducts an optimization study on the engine control parameters of plug-in hybrid electric vehicles (PHEV) and applies it to a PHEV with a rule-based energy management strategy (EMS). The results show that the optimized engine can effectively improve fuel economy and achieve significant fuel saving effects under different driving cycles.

Summary: Hybrid Energy Storage Systems (HESS) are playing an increasingly important role in electric vehicles, and the HESS Energy Management Strategy (EMS) proposed in this paper considers power and current limits to achieve optimal power distribution and improve system performance.