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A real-time battery model capable of accurately predicting the battery hysteresis effect is critical for a model-based battery conditional monitoring algorithm in advanced battery management systems. Battery condition monitoring involves tracking changes in physical parameters and operational states such as state of charge (SOC) and state of health (SOH) to ensure the optimal operation and safety...
This paper presents a modular switched-capacitor (SC) dc-dc converter based electric drive system for battery electric vehicles. In such a system, modularized lithium-ion battery cell tied MOSFET SC converters are used instead of the more conventional IGBT boost converter. Following the drive train architecture, the modeling approach for each electrical component, including the battery set, dc-dc...
This paper provides a comprehensive study on the life test method of the retired xEV(PHEV/HEV/EV) battery pack for smart house energy storage applications. First, the paper proposes a detailed model for a energy management system supported smart house. By utilizing historical household load data and Photo Voltaic (PV) panel power generation data, a 96-hour close-to-real mission profile of the battery...
Electric springs based on power electronics have been proposed as a demand response method for stabilizing power grid fed by substantial intermittent renewable energy sources. Associated with energy storage, they can provide active and reactive power compensation. Due to the limited storage capacity of the battery, this project explores a new control scheme for the third version of the electric springs...
Installing the battery energy storage in the interlinking converter of hybrid AD-DC grid can effectively reduce the exchanged energy of hybrid grid and therefore reduce the losses. Being different from the two-level or three-level interlinking converter for low voltage grid application, this paper proposes an interlinking modular multilevel converter (MMC) with integrated battery energy storage for...
A novel battery state of charge (SOC) estimation method is developed in the paper using sliding mode observer and the Nernst Equation based battery model. The method to design sliding mode observer is presented. The proposed estimator is less computational complex but it can obtain relatively accurate result. The performance of the system was verified by simulations and experiments.
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