Accurately predicting the remaining useful life (RUL) of lithium-ion batteries (LIBs) not only prevents battery system failure but also promotes the sustainable development of the energy storage industry and solves the pressing problems of industrial and energy crises. Because of the capacity regeneration phenomenon and random interference during the operation of lithium-ion batteries, the prediction precision and generalization performance of a single model can be poor. This article proposes a novel RUL prediction based on data pre-processing methods and the CNN-LSTM-ASAN framework. The model is based on a fusion technique for optimizing the tandem fusion of the Convolutional Neural Network (CNN) and the Long Short-Term Memory Network (LSTM). Firstly, the improved adaptive noise fully integrates empirical mode decomposition (ICEEMDAN) and the Pearson correlation coefficient (PCC), which are used to estimate the global deterioration tendency component and the local capacity restoration component, to reconstruct the dataset and eliminate the noise. Then, the Adaptive Sparse Attention Network (ASAN) is added in the model construction stage to improve the training efficiency of the model. The reconstructed degraded data are features extracted by the CNN-LSTM-ASAN model. Finally, the proposed method is validated against models such as DCLA, using the NASA public datasets, the CALCE public datasets, and the self-use datasets. And the results show that the root mean square error (RMSE) of the model is below 1.5%.

This article presents a novel electrical/mechanical hybrid 4-redundancy brushless DC torque motor (BLDCM),which has found applications in direct drive actuators (DDA) of aerial vehicles.This motor is characteristic of electrical/mechanical hybrid 4-redundancy by securing two stators along with two rotors on the same shaft.Each stator contains two sets of windings embedded in separated slots.Furthermore,compared to the scheme of two electrical dual-redundancy BLDCMs linked by a mechanical transmission,the proposed motor has lower volume and lighter weight,eliminates the nonlinearity caused by the gap of the mechanical transmission,moderates the requirement for the torque balance between redundancies and reduces the cogging torque by shifting the magnets.Both magnetic circuit calculation and the finite element analysis (FEA) of the electromagnetic field are conducted to optimize the design process.A prototype motor has been produced and tested.The results indicate that its performances comply with the requirements presented by designers.Moreover,the position frequency response of the prototype in the DDA's unloaded situation has also demonstrated the fulfillment of desired dynamic characteristics.

This study presents an ideal synchronous buck current regulator for variety of light‐emitting diode (LED) loads from wide input voltage range. By using high‐side power switch matched sense, the regulator maintains high current accuracy and high system efficiency. The adjustable current sense threshold provides a full‐range analogue dimming and the fast output enable/disable function allows for high‐frequency pulse‐width modulation (PWM) dimming. In addition, the two dimming methods are easy to implement and have highly linear range. An adaptive off‐time control is adopted to regulate an accurate constant current for its fast response and no need for control loop compensation, while its disadvantage of variation of switching frequency is overcome. The proposed circuit has been fabricated with 0.35 μm 40 V bipolar‐CMOS‐DMOS (BCD) process successfully. The experimental results confirm that the LED driver can operate within 6–40 V input voltage, and can drive a 1–10 output series connected LEDs. The switching frequency is fixed at 500 kHz with a variation of ±2%. The measured system peak efficiency is up to 95% at 1 A LED current and 10 V output voltage. The settling time at the PWM rising edge is <3.5 μs which is well beneficial for fast PWM dimming.

In order to overcome the shortcomings of the measurement methods for gas cumulative flow, especially in the long-term continuous measurement, a novel memristor-based gas cumulative flow sensor is proposed. The sensor is mainly composed of a hot-wire resistor, the memristor module, a feedback compensation network and some basic circuit components. According to the thermal balance equation and the memory characteristics of memristor, the sensor can measure the gas cumulative flow by combining the memristor resistance with the cross-sectional area of the pipe. In order to verify the design of memristor-based gas accumulation flow sensor, experiments are carried out under a constant gas flow velocity, a gradually increasing flow velocity, and a randomly varying flow velocity. The active region thickness D of the selected TiO2/TiO2-n memristor is 40 nm. The gas measured is air at a temperature of 300 K in the paper. The experimental results show that the sensor achieves the measurement of gas cumulative flow. When gas flow velocity at the center of the pipe is 5 m/s, the measuring range is approximately 0-20 m3 and the sensitivity within the effective range is approximately 28.44 μ/m3.

Two series of Tm3+ and Yb3+codoped oxy-fluorosilicate glass ceramics with the composition of 30SiO2-(20-x-y)Al2O3-40PbF2-10CdF2-xTm2O3-yYb2O3 were prepared and characterized. The up-conversion spectra of the samples were investigated and the up-conversion luminescence mechanisms of Tm3+/Yb3+ system were analyzed. The effects of Tm3+ and Yb3+ concentration on up-conversion luminescence spectra weresystematically studied. The results suggest that blue up-conversion emission intensity decreases when Tm3+ concentration increases due to the cross relaxation interaction between Tm3+ ions. The optimum Tm3+ concentration is 0.025mol%. Three-photon process and Yb3+ ion cooperative up-conversion energy transfer process co-exist in the Tm3+/Yb3+ up-conversion luminescence system. When Yb3+ concentration increases, due to the energy back-transfer process of 3H4(Tm3+)→2F5/2(Yb3+), the blue up-conversion emission intensity would decrease. With the help of Yb3+ ion cooperative up-conversion energy transfer, the blue up-conversion emission intensity actually increases, which is in accordance with the experimental results.