rate increase
Prognosis Of Lithium-Ion Battery Health with Hybrid EKF-CNN+LSTM Model Using Differential Capacity
Hoque, Md Azizul, Salam, Babul, Hassan, Mohd Khair, Aliyu, Abdulkabir, Almomany, Abedalmuhdi, Sutcu, Muhammed
Battery degradation is a major challenge in electric vehicles (EV) and energy storage systems (ESS). However, most degradation investigations focus mainly on estimating the state of charge (SOC), which fails to accurately interpret the cells' internal degradation mechanisms. Differential capacity analysis (DCA) focuses on the rate of change of cell voltage about the change in cell capacity, under various charge/discharge rates. This paper developed a battery cell degradation testing model that used two types of lithium-ions (Li-ion) battery cells, namely lithium nickel cobalt aluminium oxides (LiNiCoAlO2) and lithium iron phosphate (LiFePO4), to evaluate internal degradation during loading conditions. The proposed battery degradation model contains distinct charge rates (DCR) of 0.2C, 0.5C, 1C, and 1.5C, as well as discharge rates (DDR) of 0.5C, 0.9C, 1.3C, and 1.6C to analyze the internal health and performance of battery cells during slow, moderate, and fast loading conditions. Besides, this research proposed a model that incorporates the Extended Kalman Filter (EKF), Convolutional Neural Network (CNN), and Long Short-Term Memory (LSTM) networks to validate experimental data. The proposed model yields excellent modelling results based on mean squared error (MSE), and root mean squared error (RMSE), with errors of less than 0.001% at DCR and DDR. The peak identification technique (PIM) has been utilized to investigate battery health based on the number of peaks, peak position, peak height, peak area, and peak width. At last, the PIM method has discovered that the cell aged gradually under normal loading rates but deteriorated rapidly under fast loading conditions. Overall, LiFePO4 batteries perform more robustly and consistently than (LiNiCoAlO2) cells under varying loading conditions.
Head Start at Video Game Jamboree; Fed Expected to Raise Interest Rate Again
The video game industry's annual jamboree, E3, is set to open in Los Angeles on Tuesday, but some of the biggest companies in the business will begin their quest to build buzz before then. On Sunday, Microsoft revealed a new game console that supports 4K video, called Xbox One X. It will go on sale on Nov. 7. On Monday, Sony is expected to promote exclusive games for its PlayStation 4, while Nintendo on Tuesday plans to show off games for its new Switch console, including the much-anticipated Super Mario Odyssey. The Federal Reserve is expected to raise its benchmark interest rate on Wednesday after a two-day meeting of its policy-making committee.
Maybe a computer could replace the Fed's Janet Yellen?
Economist Milton Friedman was in favor of replacing the Federal Reserve with a computer. Maybe he was on to something. To the contrary, as a monetarist he wanted the Fed to increase the stock of money at a constant, 3%-5% rate a year, a task he thought a computer quite capable of performing. The Fed's lagged response to the 2008 financial crisis and an anemic recovery since then have given a new sense of urgency to the quest for a monetary rule or rules. For economists, the main benefit of a rule is to make monetary policy transparent and predictable. Everyone knows where the ship is headed and can plan accordingly.