In recent years,lithium-ion electric vehicle battery has been more and more widely used,as a key equipment of Li-ion battery production,battery testing system has become a new research hotspot.Because the use of many nonlinear elements in this system,the setting reference and sampling data were distorted during the data transmission.Aiming at reducing the interference and enhancing controlling accuracy,the data should to be processed.BP neural network with excellent nonlinear approximation and self-learning ability is widely applied to various fields.In order to process the transmitting data and correcting the systematic errors,A 3-layer BP neural network was adopted in this paper.The testing results show that the network is easy to realize,the forecast data of which is high in accuracy,and thus is better in reducing the distortion of the sampling data.

The method of vertical scan is widely used in ion implanters.This paper introduces the structure and design of an improved long vertical scan system.The results show that this system can improve the reliability and stability of mechanical scan in an ion implanter.

The operational principle of the electrostatic chuck was briefly introduced.The operational mode of the six-phase electrostatic chuck and concentrates its attention on the structural design and manufacturing process were theoretically analysed,especially the nitrogen cooling performance under different pressure conditions.It is showed that the best frequency of the electrostatic clamping voltage is 30 Hz,when the voltage is 0.5 kV to 1 kV and the required power is low.