학술논문

Energy Management Strategy with Adaptive Cut-off Frequency for Hybrid Energy Storage System in Electric Vehicles
Document Type
Conference
Source
2022 IEEE Vehicle Power and Propulsion Conference (VPPC) Vehicle Power and Propulsion Conference (VPPC), 2022 IEEE. :1-6 Nov, 2022
Subject
Aerospace
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Transportation
Adaptation models
Power system management
Simulation
Cutoff frequency
Low-pass filters
Mathematical models
Data models
Electric vehicle (EV)
Equivalent circuit model (ECM)
Hybrid energy storage system (HESS)
Low pass filter technique
energy management strategy (EMS)
Lithium-ion battery (LIB)
Supercapacitor (SC)
Language
Abstract
The mixing of lithium-ion batteries (LIB) and Super-capacitors (SCs) is promising in the context of electric vehicles (EV) to minimize battery aging. This paper presents a power management strategy (EMS) based on the frequency method (i.e., low-pass filter) using an approach that allows adaptive cutoff frequency of the filter from the state of charge (SoC) of the SCs. In addition to the EMS, this study provides a dynamic model of the battery and SCs developed in Matlab/Simulink. Each of the two proposed models was evaluated separately before being merged into the model of the hybrid energy storage system (HESS). When the simulation results were compared to the test bench data, the suggested models were validated with an average inaccuracy of roughly 6% for the SCs and 3% for the battery model. Furthermore, the results highlighted the potential of frequency adaptation of the power management technique, which allows for better power distribution between the two sources. This latter adjusts itself based on the SoC of the SCs, thus improving battery’s lifetime.