FPGA Applications in Hybrid Energy Storage System and Field-oriented Motor Control

Abstract

This thesis demonstrates the utilization of FPGA chip in hybrid energy storage system (HESS) and motor control, which contains four sections. 1. In order to compensate for such mismatches, a HESS composed of battery and ultracapacitor (UC) is presented in this thesis. To optimize the power allocation in the HESS, a global-level fuzzy logic-based power management strategy is proposed. It has the following objectives: 1) manage the power distribution between the battery and the UC to achieve power balance without over charging/discharging the two sources; 2) make full use of the nature of the two sources to smooth out power fluctuation and extend the lifespan of batteries. Case studies are provided under various scenarios. 2. This thesis not only considered the PV-involved system, it also considered hybrid electric vehicles (HEV) system issues, which means we also developed two fuzzy logic power management strategies for HEV-involved system. The goal is to investigate the effect of two fuzzy logic strategy when considering battery degradation. In that case, the battery degradation model is presented and compared. The simulation results verified that one of the proposed strategy can greatly reduce the battery degradation. 3. Due to the fluctuation and instability of photovoltaic (PV) output power, mismatches between the power supply and the power demand may occur in a stand-alone PV system. In order to test the potential of FPGA chip, both fuzzy algorithm and field-oriented control (FOC) algorithm are implemented in FPGA. The digital design of each fuzzy logic stage is presented. The results validate the effectiveness of the proposed fuzzy logic-based power management strategy. 4. For FOC algorithm implementation, the goal is to utilize the rapidity of the FPGA chip to generate high-frequency PWM signals for power converter board. Both simulation and hardware results are presented, which shows the advancement of FPGA chip.