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Zero Iteration Model Predictive Control for Hybrid Energy Storage System with Dual Batteries | IEEE Conference Publication | IEEE Xplore

Zero Iteration Model Predictive Control for Hybrid Energy Storage System with Dual Batteries


Abstract:

Although the capability of digital microprocessors has been developed rapidly, the heavy computation burden is a challenge for the model predictive control on the applica...Show More

Abstract:

Although the capability of digital microprocessors has been developed rapidly, the heavy computation burden is a challenge for the model predictive control on the applications of power electronics. This paper presents a zero iteration model predictive control (MPC) for a hybrid energy storage system (HESS) with dual batteries. A PI controller is used to predicting the closed-form battery current and control signals, which can be used for relax the constraints and find the active constants in order to obtain the solutions without iteration. The dual battery can share the power to ensure the charging/discharging behaviours are always limited to the specified active constraint.
Date of Conference: 18-21 October 2020
Date Added to IEEE Xplore: 18 November 2020
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Conference Location: Singapore

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