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A coupled battery thermal management (BTM) system based on novel quaternary phase change material plate (PCMP) is developed to balance the temperature in rectangular LiFePO4 battery modules. Paraffin (PA), expanded graphite (EG), low-density polyethylene, and copper mesh were combined into a quaternary PCMP to strengthen the heat transfer. The thermal conductivity of the PCMP with double copper mesh...
The wind power time series always exhibits nonlinear and non-stationary features, which make it very difficult to predict accurately. In this paper, a new chaotic time series prediction model of wind power based on ensemble empirical mode decomposition-sample entropy (EEMD-SE) and full-parameters continued fraction is proposed. In this proposed method, EEMD-SE technique is used to decompose original...
The demanding of a holistic view for the engines in the fuel direct precooled family was clarified. A unified cycle model was proposed so as to provide a consistent thread of insight for the engine family. The model indicates that the engines in the fuel direct precooled family are not collections of different cycles, but essentially the same cycle operating under different conditions. Theoretical...
Unsteady wind is characterized by low energy content and large fluctuations. A Computational Fluid Dynamics (CFD)-based method for capturing wind energy in a fluctuating free-stream, supported by analytical formulations, is investigated in this paper. We implemented unsteady Reynolds-Averaged Navier-Stokes (RANS) solver to control the dynamic mesh motion. Using an urban wind resource, characteristic...
The accuracy of wind power prediction is important for assessing the security and economy of the system operation when wind power connects to the grids. However, multiple factors cause a long delay and large errors in wind power prediction. Hence, efficient wind power forecasting approaches are still required for practical applications. In this paper, a new wind power forecasting method based on Chaos...
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