The importance of analysis of lithium battery residual life accurate estimate

Source: 2020 - 04 - 10 then hits: lithium battery residual life accurately estimate the importance of lithium ion batteries are widely used in consumer electronics, electric vehicles and space systems. Is an inevitable problem, however, the performance of the battery will continue to fall, because it is recycling and material aging, until it is discarded. In addition, the degradation of battery performance cannot be directly measured, often need to estimate in advance, so as to decide whether to replace the battery, in order to avoid some unnecessary accidents. Of lithium ion battery cycle life prediction distance mature online applications is still some distance. Some foreign universities, research institutes and enterprises electric cars, ships, aircraft and spacecraft battery management system ( 'management system, BMS) Research and development, including lithium battery cycle life is the core and difficulty of bristol-myers squibb, many systems, such as global positioning system ( GPS) And unmanned aerial vehicle ( Unmanned aerial vehicles, uavs) Require the use of military electronic equipment such as portable power supply depends on the lithium ion battery, also need to evaluate the reliability of the lithium ion battery, in order to avoid the lithium ion battery fault from the run of injuries to serious consequences such as performance degradation or even catastrophic failure. Rechargeable lithium-ion batteries used in the reliability of implantable medical device is widely recognized as one of the most important stakeholder requirements. In order to guarantee the reliability of the equipment in the lithium battery in the process of running, it is necessary to evaluate the capacity of lithium-ion batteries, and predict the rest of the cycle of life. Some domestic research institutions to carry on the practical work, but it is still in the initial stage, such as liu d. t . He and others application of lithium ion battery cycle life prediction method for health assessment system of satellite in China aerospace research institute of lithium batteries, and the residual life prediction system of the developed satellite lithium ion batteries. According to the computing resource constraint problem space; Zhou Jianbao etc on FPGA platform to achieve the RVM based embedded lithium battery cycle life prediction method for calculating and predict the residual life of battery, Residual spare life, url) 。 Beijing jiaotong university and Beijing university of aeronautics and astronautics and the residual life estimation method, were studied and applied in practice. Harbin crown's power equipment co. , LTD. , shenzhen pei di technology co. , LTD. And other domestic enterprises in the development of battery management system also has obtained certain achievements. In general, the acquisition precision of battery management system at home and abroad is not accurate, especially in the cycle life of battery remaining estimation precision is not enough, technology is not yet mature.