Let’s overview what is the significance of battery health monitoring. The main significant of the battery health monitoring is safety and maintenance. The health monitoring and safety assessment of battery are predicted to electric vehicles.
Introduction: nowadays technology revolution and industrial reform across the world. Technology get advance form modernization of automobile technology, new energy technology and information technology increased. Where research on the vehicle battery evaluate the state of health of battery can be guide the use of vehicle battery and focuse on extended the service life of battery which is main significant for utilization of battery. The state of health battery is major the capacity of battery and major the internal resistance, also the no. Cycle time. The method of state of health battery is two type first is model based method and data driven method. In model based method the state of health can determine by the model parameters. But in data driven method no need to understand the working principles of battery.we used the two type of data driven method , first one is featured based method and second is based on sequence based method. The accuracy of battery and reability is depend on data. In data driven special vector is used to measure the data. However , the many people give there different opinions according to their knowledge, like servoson et al proposed that the prediction of battery cycle is based on the capacity aging data. Where as Dubarry et al. Proposed an automatic battery state of health assessment which is based on capacity of battery to incremental analysis methods. Pop et al. Proposed on the basis of low cost method to determine the state of charge and state of health of lithium-ion based battery based on ultrasonic guided wave data processing method of flight time and signal amplitude.
Summary of Lithium-ion based battery
Lets discuss on the health status of lithium ion based battery, in lithium ion battery main focus on to enhance the safety, efficiency and economy of development of lithium ion. Its very challenge for the worker to make the lithium ion because of its complex process. Then used the data driven method it can solve difficulties and resolve the problem. Continuous charging and Discharging make failure. Then develop three data driven method to determine the battery state of health using the short random charging segment. Another one is four type of commercial lithium ion battery in which 75 cells there , which is under different temperature and discharged rate . However the health of lithium ion battery get degrade by temperature, current rate, mechanical stress. According to the physical point of view health of battery can evaluated by the microscopic degradation process of battery like solid electrolyte interphase and particle cracking and lithium plating. Many researcher working on many semi empirical method to avoid this problem the mechanical stress like temperature and current rate, and depth of discharge.
Recently, battery state of health develop the machine learning technique and the availability of a large amount of high-quality data have been proposed.
