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Journal Article

Online Flooding and Dehydration Diagnosis for PEM Fuel Cell Stacks via Generalized Residual Multiple Model Adaptive Estimation-Based Methodology

For proton exchange membrane fuel cell (PEMFC) stack, critical issues such as flooding and dehydration, are caused by improper water management. With respect to the water management failure, PEMFC stack outputs power and efficiency decreased. Therefore, proper water management with diagnosis contributes to the reliability and durability. Existing researches establish Electrochemical Impedance Spectroscopy (EIS) measurement to detect and identify different faults, whereas the sophistication, overwhelmed computational consumption of EIS and unaffordable dedicated instrumentation make it’s unsuitable for commercial application. Therefore, EIS is not considered to be a viable solution to online and real-time diagnostic scheme. In this paper, an innovative method based on EIS, is further developed to identify some critical PEMFC fault conditions online, wherein generalized residual multiple model adaptive estimation (GRMMAE) methodology is applied.
Technical Paper

Genetic Algorithm-Based Parameter Optimization of Energy Management Strategy and Its Analysis for Fuel Cell Hybrid Electric Vehicles

Fuel cell hybrid electric vehicles (FCHEVs) composed of fuel cells and batteries can improve the dynamic response and durability of vehicle propulsion. In addition, braking energy can be recovered by batteries. The energy management strategy (EMS) for distributing the requested power through different types of energy sources plays an important role in FCHEVs. Reasonable power split not only improves vehicle performance but also enhances fuel economy. In this paper, considering the power tracking control strategy which is widely adopted in Advanced Vehicle Simulator (ADVISOR), a constrained nonlinear programming parameter optimization model is established for minimizing fuel consumption. The principal parameters of power tracking control strategy are set as the optimized variables, with the dynamic performance index of FCHEVs being defined as the constraint condition. Then, the genetic algorithm (GA) is applied in the control strategy design for solving the optimization problem.
Technical Paper

Online Estimation of Membrane Water Content in Vehicular PEMFC by Complex Morlet Wavelet Transformations

The amount of water content in membrane electrode assembly (MEA) is an important factor affecting the efficiency and life of proton exchange membrane fuel cell (PEMFC), and there are several methods to measure it. However, it’s widely believed that the most feasible method to measure the water content in the MEA is an indirect way as described below: measure the electrochemical impedance spectroscopy (EIS), and take advantage of the positive correlation between the proton’s conductivity, which is reciprocal of specific resistance, and the water content in MEA. The traditional EIS measurement method has the shortcoming of high cost and slow speed, especially in low frequency bands, so this method is unsuitable for high-power vehicle fuel cell systems. In this paper, a measuring method which does not require a large number of experiments and only need to perform Morlet wavelet transform on the PEMFC voltage signal as well as current signal is proposed.