Adaptive nonlinear controller design for fuel cell/supercapacitor hybrid energy storage system with model uncertainties

In this paper, an adaptive nonlinear control method based on Lyapunov function is proposed for fuel cell/supercapacitor hybrid energy storage system (HESS) used in electric vehicles. The fuel cell (FC) acts as the main energy storage device, which is connected with a boost converter. And the supercapacitor (SC) acts as the auxiliary energy system, which is connected with a bi-directional DC-DC converter. Based on the two energy storage devices and connected converters, the integral system model is obtained. In the design process of the control scheme, the adaptive controller is utilized to solve the problems of external disturbance and uncertain parts in the system model. The Lyapunov based stability analysis is given to prove the convergence of the proposed control method. And the final simulation results show the effectiveness of the proposed method.

[1]  K. Rajashekara,et al.  Hybrid fuel cell strategies for clean power generation , 2004, Conference Record of the 2004 IEEE Industry Applications Conference, 2004. 39th IAS Annual Meeting..

[2]  M. Marchesoni,et al.  New DC–DC Converter for Energy Storage System Interfacing in Fuel Cell Hybrid Electric Vehicles , 2007, IEEE Transactions on Power Electronics.

[3]  Phatiphat Thounthong,et al.  Control Strategy of Fuel Cell and Supercapacitors Association for a Distributed Generation System , 2007, IEEE Transactions on Industrial Electronics.

[4]  Giorgio Rizzoni,et al.  Supervisory control of fuel cell vehicles and its link to overall system efficiency and low-level control requirements , 2003, Proceedings of the 2003 American Control Conference, 2003..

[5]  C.C. Chan,et al.  Electric vehicles charge forward , 2004, IEEE Power and Energy Magazine.

[6]  Ahmad Saudi Samosir,et al.  Implementation of Dynamic Evolution Control of Bidirectional DC–DC Converter for Interfacing Ultracapacitor Energy Storage to Fuel-Cell System , 2010, IEEE Transactions on Industrial Electronics.

[7]  Ilya V. Kolmanovsky,et al.  Ultracapacitor Assisted Powertrains: Modeling, Control, Sizing, and the Impact on Fuel Economy , 2011, IEEE Transactions on Control Systems Technology.

[8]  Serge Pierfederici,et al.  Energy control of supercapacitor/fuel cell hybrid power source , 2008 .

[9]  C. C. Chan,et al.  The State of the Art of Electric, Hybrid, and Fuel Cell Vehicles , 2007, Proceedings of the IEEE.

[10]  Jorge Moreno,et al.  Energy-management system for a hybrid electric vehicle, using ultracapacitors and neural networks , 2006, IEEE Transactions on Industrial Electronics.

[11]  Jorge Moreno,et al.  Ultracapacitor-Based Auxiliary Energy System for an Electric Vehicle: Implementation and Evaluation , 2007, IEEE Transactions on Industrial Electronics.

[12]  Omonowo D. Momoh,et al.  An overview of hybrid electric vehicle technology , 2009, 2009 IEEE Vehicle Power and Propulsion Conference.

[13]  Srdjan M. Lukic,et al.  Topological overview of hybrid electric and fuel cell vehicular power system architectures and configurations , 2005, IEEE Transactions on Vehicular Technology.

[14]  Alireza Khaligh,et al.  Battery, Ultracapacitor, Fuel Cell, and Hybrid Energy Storage Systems for Electric, Hybrid Electric, Fuel Cell, and Plug-In Hybrid Electric Vehicles: State of the Art , 2010, IEEE Transactions on Vehicular Technology.

[15]  Hamid Gualous,et al.  Design and New Control of DC/DC Converters to Share Energy Between Supercapacitors and Batteries in Hybrid Vehicles , 2008, IEEE Transactions on Vehicular Technology.

[16]  Prasad N. Enjeti,et al.  Design of a wide input range DC-DC converter with a robust power control scheme suitable for fuel cell power conversion , 2004, Nineteenth Annual IEEE Applied Power Electronics Conference and Exposition, 2004. APEC '04..

[17]  Anna G. Stefanopoulou,et al.  Control-Oriented Modeling and Analysis for Automotive Fuel Cell Systems , 2004 .