Recursive Estimation-Based Maximum Power Extraction Technique for a Fuel Cell Power Source Used in Vehicular Applications

Somaiah, Boddu; Agarwal, Vivek

doi:10.1109/tpel.2012.2236688

Cited by 25 publications

(9 citation statements)

References 25 publications

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“…For the adaptive parameter estimation of nonlinearly parameterized PEMFC system (4)-( 5), there are two difficulties to be handled: the first one is that only the input u and outputs x, y are known, while the nonlinear function f 1 (x, u, θ 1 ) is unknown (since an unknown parameter θ 1 is involved); the second one is that the unknown parameters θ i , i = 1, 2, 3 are not in a linearly parameterized form, making the classical parameter estimation methods, e.g., [6], [7]), unsuitable. 2 In the performed experiments, the input mass flows of air and hydrogen are determined by the stoichiometric ratios and the input current.…”

Section: Adaptive Parameter Estimationmentioning

confidence: 99%

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Adaptive Nonlinear Parameter Estimation for a Proton Exchange Membrane Fuel Cell

Xing

Chen

et al. 2022

IEEE Trans. Power Electron.

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Parameter estimation is vital for modeling and control of fuel cell systems. However, the nonlinear parameterization is an intrinsic characteristic in the fuel cell models such that classical parameter estimation schemes developed for linearly parameterized systems cannot be applied. In this paper, an alternative framework of adaptive parameter estimation is designed to address the real-time parameter estimation for fuel cell systems. The parameter estimation can be divided into two cascaded components. First, the dynamics with the unknown parameters are estimated by a new unknown system dynamics estimator (USDE). Inspired by an invariant manifold, this USDE is designed by applying simple filter operations such that the information of the state derivative is not required. Secondly, an adaptive law driven by the function approximation error is proposed for recovering unknown model parameters. Exponential convergence of the estimated parameters to the true values can be proved under the monotonicity condition. Finally, experimental results on a practical proton exchange membrane fuel cell system are given to verify the effectiveness of the proposed schemes.

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Section: Adaptive Parameter Estimationmentioning

confidence: 99%

“…The typical adaptive estimation methods, such as gradient-descent algorithm and least-square (LS) algorithm, have been used for specific fuel cell plants in [6]- [8]. These classical methods are limited to linearly parameterized systems only, where the unknown parameters are in a linear form with respect to the regressors.…”

mentioning

confidence: 99%

Adaptive Nonlinear Parameter Estimation for a Proton Exchange Membrane Fuel Cell

Xing

Chen

et al. 2022

IEEE Trans. Power Electron.

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“…Therefore, to get the best outcome on the investement, it's necessary to extract the Maximum power from FCPS under all operating conditions. The output voltage of the typical FC has non linear relationship with the load current (as illustrated in Figure 2)and also with some operating parameters such as temperatue, fuel and oxidant flow rates, humidity and aging etc [5]. The FCPS are generally of high current and low voltage devices.Usauuly they are connected in series to get the suitable higher voltage for a particular application.However, there is a practical limitation of connecting number of series cells in a stack.Incresed number of cells in a stack introduces the difficulties like sharing the fuel pressure, non uniform reactant concentration and humidity in each cell [6].…”

Section: Introductionmentioning

confidence: 99%

“…This situation arises to forcefully limit the current of a healthy cell and there by the power output of the stack decreases. A significant research has been carried out on extracting maximum power from the FCPS [5]- [13]. Recursive estimation of tracking maxium power is has been presented in [5].…”

Section: Introductionmentioning

confidence: 99%

“…A significant research has been carried out on extracting maximum power from the FCPS [5]- [13]. Recursive estimation of tracking maxium power is has been presented in [5]. A new adaptive extremum scheme of MPPT and some MPPT schemes are have been presented in [6].The MPPT by P&O and fuzzy logic controller methods are elaborated in [7] and [8], and these methods are compared in [9] with respect to the speed, design and complexity terms.…”

Section: Introductionmentioning

confidence: 99%

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Analytical Comparision between Single and Modular Fuel Cell Stack: Uniform Modular Cell Approch

Naik

Samuel

2017

IJAAS

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A single fuel cell (FC) produces a very small voltage of about 0.6 -0.8 V under normal operating condition, and hence several individual cells are connected in series as a stack to get higher voltages suitable for practical loads. The stacks are then connected in series to get required values of DC voltage. The FC performance varies with the operating parameters such as temperature, humidity, fuel flow rate, ageing and fuel non uniform concentration. The FC stack underperforms when there is presence of bad cell in it. The Presence bad cell in a stack limits the current handling capacity of other healthy cells when it’s connected as a conventional single stack. This can be overcome by connecting the fuel cells in uniform modular cell configuration. In this paper a Uniform Modular Cell Configuration (UMCC) is proposed to gain the maximum power from the stack and the conventional Single or Uni Stack Configuration (USC) is compared with the proposed structure. A detail mathematical analysis of comparing both methods is described. Further the superiority of the proposed method is proven by carrirying out the simulations under steady state operating condition of a FC stack feeding to a constant current load.

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Application in Industrial Field

Chakkarapani

Rani

Ilango

et al. 2023

Schiff Base Metal Complexes

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Recursive Estimation-Based Maximum Power Extraction Technique for a Fuel Cell Power Source Used in Vehicular Applications

Cited by 25 publications

References 25 publications

Adaptive Nonlinear Parameter Estimation for a Proton Exchange Membrane Fuel Cell

Adaptive Nonlinear Parameter Estimation for a Proton Exchange Membrane Fuel Cell

Analytical Comparision between Single and Modular Fuel Cell Stack: Uniform Modular Cell Approch

Application in Industrial Field

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