Version 1
: Received: 15 April 2020 / Approved: 16 April 2020 / Online: 16 April 2020 (06:36:09 CEST)
How to cite:
Zhang, X.; Lu, Z. Passivity-Based L2-Gain Adaptive Control for Battery/Supercapacitor Hybrid Energy Storage System in Electric Vehicles. Preprints2020, 2020040258
Zhang, X.; Lu, Z. Passivity-Based L2-Gain Adaptive Control for Battery/Supercapacitor Hybrid Energy Storage System in Electric Vehicles. Preprints 2020, 2020040258
Zhang, X.; Lu, Z. Passivity-Based L2-Gain Adaptive Control for Battery/Supercapacitor Hybrid Energy Storage System in Electric Vehicles. Preprints2020, 2020040258
APA Style
Zhang, X., & Lu, Z. (2020). Passivity-Based L2-Gain Adaptive Control for Battery/Supercapacitor Hybrid Energy Storage System in Electric Vehicles. Preprints. https://doi.org/
Chicago/Turabian Style
Zhang, X. and Zhangyu Lu. 2020 "Passivity-Based L2-Gain Adaptive Control for Battery/Supercapacitor Hybrid Energy Storage System in Electric Vehicles" Preprints. https://doi.org/
Abstract
Battery/Supercapacitor(SC) current tracking control is a key issue for hybrid energy storage system (HESS) in electric vehicles. An innovative passivity-based L2-gain adaptive control (PBL2AC) based on port-controlled Hamiltonian model with dissipativity (PCHD) for reference current tracking and bus voltage stability in HESS is presented. The developed PCHD model has considered both parameter variations and external disturbances. By using L2-gain disturbance attenuation, the PBL2AC ensures robust reference current tracking and stable bus voltage. Moreover, adaptive mechanism is adopted to estimate the electrical parameters. To validate the proposed control scheme for HESS, simulations and experiments were done and compared with traditional PID and sliding mode control under several typical driving cycles, and results show that the effectiveness of the proposed controller can be confirmed.
Keywords
hybrid energy storage system; L2-gain disturbance attenuation; passivity-based control; port-controlled Hamiltonian model
Subject
Engineering, Control and Systems Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
