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基于Cortex-M3的电池内阻检测系统设计与实现

         

摘要

以电池为能源的各类电气设备,在工业生产、交通、军事、通信等领域广泛应用,电池性能对电子、电气设备的正常运行具有极其重要的作用。电池在使用过程中,其性能和容量会随充放电次数的增加而下降,所以,定期维护及检验电池性能,是保证电器设备可靠工作的重要内容。电池内阻是检验电池性能和容量的重要参数,通过内阻检测评估电池性能和容量参数,也是科学研究和工业应用的基本原理。电池内阻测量的常用方法一般采用电位差原理。但是,该测量方法对于大型设备的高容量电池存在测量误差大、发热、易损电池等弊端。本文采用基于Cortex-M3核32位微处理微计算机控制和电位差原理的智能内阻测量系统,实现了大容量电池的精确、快速、安全测量和高度智能化的故障诊断功能,具有重要的科学研究意义及实用价值。%All kinds of electrical equipment which use battery as energy sources, are widely used in the industrial production, transportation, military, communications and other fields. And the battery performance is of great importance to normal operation of electrical and electronic equipment. Because the performance and capacity of battery decreases with the increasing number of charge cycles and discharge, the regular maintenance and test of battery performance is the important to guarantee working reliability of electrical equipment. Evaluation battery performance and capacity by testing battery internal resistance, which is the vital parameter for battery performance and capacity, is the basic principles of scientific research and industrial application. Potential difference principle is common method to measure battery internal resistance, but in which the disadvantage is that causing large measurement error, producing heat and damaging battery easily for the large capacity battery of large equipment. In this paper presents a design of the intelligent resistance measuring system based on Cortex-M3 32-bit microprocessor control and potential difference principle ,which realized precise, high speed and safe measurement and highly intelligent fault diagnosis function for the large capacity battery. The system has important scientific significance and practical value.

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