Design And Implementation Of Analysis And Detection System Of Battery Internal Resistance Based On Sinusoidal Excitation Algorithm

Determine the quality of the battery and the forecast has been plaguing us.Determining the importance of the particular industry in a variety of battery state. Forexample, the battery in the communications industry for sudden power down if powersupply can take on the entire environment; does not receive because of the suddenimpact of the external power-down in the financial industry; power play in themilitary industry complex changes in the environment supply. More extensive use ofthe battery, and measure its performance and determine the state has becomeincreasingly important.Determine the status of the battery, in the past two decadesthere have been many ways: discharge measurement, load determination method,impurity determination method, the capacity estimate method. Various methodsdescribed above, have a common characteristic, that is not online measurements. Thefirst test method requires the entire battery discharge, over-discharge times willshorten battery life; impurity determination method is more accurate, its disadvantageis the need to dismantle the whole battery, destruction of its tightness, taking theimpurities in time, will undermine the overall performance of the battery, resulting ina battery is not available. Forecast method is based on the general life of the battery inthe past, given a general comment and forecasts. However, each storage battery,each of the number of charge and discharge system and for the external environmentis not the same, it is difficult in practice to determine the status of the battery.Withthe tremendous progress and development of the electronics industry, particularly inthe development of signal technology leaps in the embedded industry. Batterymeasurement issues have been a lot of progress. The theory suggests that more: stateof the battery with its own internal resistance of a great relationship, the greater theresistance, the battery status is worse. The internal resistance of the battery is verysmall due to their small feature measurement problems for the battery, high-precision measurement becomes a problem. How to improve the measurement accuracydetermines the quality and accuracy of the measurement system. This article describeshow the current ARM embedded technology, using a wave excitation, by comparingthe input and output waveforms, and waveform whose consumption was consumedpart of the resistance. According to Ohm’s law then we can easily draw resistance testsystem. In the description herein, the waveform of the measurement process and howto eliminate clutter noise mutations, we used a secondary filter, and add-meansalgorithm to improve the accuracy of the system. In the process of realization of thetask, we use the most popular Android system as a development framework forembedded interfaces and program scheduling, kernel LINUX. Types of drive systemsintegrated in kernel mode, processing and algorithm model of each waveformcompleted by the KERNEL. To achieve a good model for people to interact andseparation.Finally, we draw a practical experiment to measure the effectiveness ofour system, sinusoidal excitation algorithm gives advantages in measuring theinternal resistance of the battery, how to improve its accuracy in the direction offuture research is to measure the accuracy of the internal resistance.