Accounting for coils magnetic saturation in controlling DC-DC power converters

IEEE Trans. Veh. Technol.

et al. 2014

178

Compared to conventional powertrains, hybrid electric vehicles exploit energy production and energy storage systems to achieve improved fuel economy. To maximize such improvement, advanced control strategies are needed for controlling in real-time the amount of energy to be produced and stored. This paper deals with the problem of hybrid energy storage system (HESS) for electric vehicle. The storage system consists of a fuel cell (FC), serving as the main power source, and a supercapacitor (SC), serving as an auxiliary power source. It also contains a power block for energy conversion consisting of a boost converter connected with the main source and a boost-buck converter connected with the auxiliary source. The converters share the same dc bus which is connected to the traction motor through an inverter. These power converters must be controlled in order to meet the following requirements: i) tight dc bus voltage regulation; ii) perfect tracking of SC current to its reference; iii) and asymptotic stability of the closed loop system. A nonlinear controller is developed, on the basis of the system nonlinear model, making use of Lyapunov stability design techniques. The latter accounts for the power converters large-signal dynamics as well as for the fuel-cell nonlinear characteristics. It is demonstrated using both a formal analysis and numerical simulations that the developed controller meets all desired objectives.

Section: B Nonlinear Control Designmentioning

confidence: 99%

Modeling and Nonlinear Control of a Fuel Cell/Supercapacitor Hybrid Energy Storage System for Electric Vehicles

IEEE Trans. Veh. Technol.

et al. 2014

178

“…However, it is well known that the boost converter has a non-minimum phase feature (see e.g. [4,5,8,9]). Such an issue is generally dealt by resorting to an indirect design strategy.…”

Section: Adaptive Sliding Mode Controller (Smc) Designmentioning

confidence: 99%

Adaptive sliding mode control of interleaved parallel boost converter for fuel cell energy generation system

Mathematics and Computers in Simulation

2013

Self Cite

This paper deals with the problem of controlling energy generation systems including fuel cells (FCs) and interleaved boost power converters. The proposed nonlinear adaptive controller is designed using sliding mode control (SMC) technique based on the system nonlinear model. The latter accounts for the boost converter large-signal dynamics as well as for the fuel-cell nonlinear characteristics. The adaptive nonlinear controller involves online estimation of the DC bus impedance 'seen' by the converter. The control objective is threefold: (i) asymptotic stability of the closed loop system, (ii) output voltage regulation under bus impedance uncertainties and (iii) equal current sharing between modules. It is formally shown, using theoretical analysis and simulations, that the developed adaptive controller actually meets its control objectives.

Lyapunov based control of hybrid energy storage system in electric vehicles

2012 American Control Conference (ACC)

2012

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Abstract-This paper deals with a Lyapunov based control principle in a hybrid energy storage system for electric vehicle. The storage system consists on fuel cell (FC) as a main power source and a supercapacitor (SC) as an auxiliary power source. The power stage of energy conversion consists on a boost converter connected with the main source and a buck-boost converter connected with the auxiliary source. The converters share the same dc bus which is connected to the traction motor through an inverter. The aim is controlling power converters in order to satisfy the following requirements: i) tight dc bus voltage regulations, ii) perfect tracking of SC current to its reference, and iii) asymptotic stability of the closed loop system. It is clearly shown, using formal analysis and simulations that the designed controller meets all the objectives.