Lithium ion battery monitoring multifunctional fiber sensor, system with sensor and manufacturing method of sensor

Abstract

The invention discloses a lithium ion battery monitoring multifunctional fiber sensor, a system with the sensor and a manufacturing method of the sensor. The multifunctional fiber sensor comprises a charged state sensor and a temperature sensor in serial connection, each of the charged state sensor and the temperature sensor uses a multi-mode fiber as a substrate, and each multi-mode fiber includes a silica core, a fluorine-doped cladding and a acrylic ester coating from inside to outside; the multi-mode fiber is etched in hydrofluoric acid in a wet method, so that the fluorine-doped claddingis thinned to form a fiber evanescent wave sensor, namely the charged state sensor; and the temperature sensor is connected in series to the back end of the charged state sensor, and the fluorine-doped cladding of the multi-mode fiber of the temperature sensor is etched and thinned and coated with a fluorescent layer with PMMA as the matrix. Two important parameters, namely temperature and chargedstate, of the lithium ion battery can be measured at the same time without mutual interference, and the sensitivity is high.

Description

technical field [0001] The invention belongs to the field of new energy, and in particular relates to a multifunctional optical fiber sensor for monitoring lithium ion batteries, a system and a manufacturing method thereof. Background technique [0002] Due to the socio-economic environment in the mid-2000s, there was renewed interest in electric vehicles. Since 2010, all major car companies have released electric vehicles. Initially, hybrid electric vehicles (HEV) were the main type of electric vehicle. However, in recent years, battery electric vehicles (BEV) have shown a good development momentum. In the past, the on-board energy supply of pure electric vehicles was mainly based on lead-acid or nickel-metal hydride batteries. In recent years, lithium-ion batteries have become preferred. [0003] Lithium iron phosphate (LFP) has been identified as a more favorable positive electrode (cathode) for electric vehicles. Its chemical properties can effectively improve the p...

AI Technical Summary

Problems solved by technology

Another approach, performing thermal modeling of the battery to obtain an estimate of the internal temperature of the battery, but this approach is often error prone

Also, it requires additional computing power, which is difficult to obtain in real-time scenarios such as vehicles

Other methods of estimating the battery's internal temperature with greater confidence include temperature sensors embedded in microelectromechanical systems (MEMS) inside the battery, which tend to be expensive due to their complex manufacturing process

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