Yao Lei

TL;DR: A novel intelligent fault diagnosis method for Lithium-ion batteries based on the support vector machine, which can identify the fault state and degree timely and efficiently and provides the theoretical basis for future fault hierarchical management strategy of the battery system.

TL;DR: Through in-depth analysis of the correlation degree between the parameters and the fault signal, it is found that the VD value has a strong correlation with fault diagnosis and can significantly improve the efficiency and precision in the classification of fault degree.

TL;DR: In this paper, a microstructural topology optimization of viscoelastic materials for the plates with constrained layer damping (CLD) treatments is presented, which aims to maximize modal loss factor of macrostructures, which is obtained by using the Modal Strain Energy (MSE) method.

TL;DR: In this article, an overload proof power battery charging-discharging monitoring control method is proposed. But the method comprises the following steps: calculating the temperatures of a battery to be tested and the extreme current charging/discharging rates at different SOCs (Systems on Chip) according to a voltage change ratio; determining different temperatures and charging and discharging voltage upper limits at different SOPs according to the maximum current charging or discharging ratio; judging whether failure duration exceeds a preset unexpected duration or not by taking the current charging current threshold value, and the charging voltage upper limit

TL;DR: In this paper, a pedal misapplication prevention system and a vehicle provided with the same, wherein the system comprises a controller and a first pressure sensor, and the controller is connected with a brake system of the vehicle and the first pressure sensors; the pressure sensor is arranged on an accelerator pedal and is used for detecting the force information of a driver stepping on the accelerator pedal.