利用现代智能电池技术延长电池寿命

锂离子电池因其能量密度高而在便携应用中倍受青睐。但其电池管理系统并不尽如人意。结果不是电池比预期提前结束寿命就是造成剩余电量的浪费。针对对这种情况,智能电源管理系统应运而生,能够准确地对电池剩余电量进行估计,令电池的使用达到最佳化。     

Linear推出高压电池监视器LTC6804

凌力尔特公司日前推出面向混合电动型和电动型汽车以及其他高压、堆叠式电池系统的高压电池监视器LTC R 6804。lTC6804能以16位分辨率和优于0．04％的准确度来测量12节高达4．2V的串联连接电池。利用一个亚表面齐纳电压基准（类似于高精度仪表中所使用的基准），可在整个时间、温度和工作条件下保持高精度。     

针对医疗设备的精确电池备份

本文通过测试测量方案介绍了如何进行医疗设备的精确电池备份。     

混合/电动型汽车电池监视器

LTC6804是面向混合电动型和电动型汽车以及其他高压、堆叠式电池系统的高压电池监视器。其能以16位分辨率和优于0.04%的准确度来测量12节高达4.2V的串联连接电池。利用一个亚表面齐纳电压基准(类似于高精度仪表中所使用的基准),可在整个时间、温度和工作条件下保持高精度。当串联堆叠时,LTC6804允许在大型     

高性能的微处理器电压监视器的应用

ＭＡＸ８２１３／８２１４是ＭＡＸＩＭ公司推出的高性能的微处理器电压监视器，内有四路精密比较器，能对正负电源欠压、过压进行监控，并内含滞后功能可消振振荡。本文介绍其原理、芯片性能和实际应用电路，并对装配和布线技巧作了说明。     

基于DS2438芯片的智能电池监测系统

本文介绍了一种基于DS2438芯片的智能电池监测系统，着重阐述了该系统的硬件实现和软件设计。该系统借助单片机完成了实时监测和显示电池当前状态的功能。实际使用证明本系统功能强大、结构简单、运行稳定，可用于笔记本电脑、手机以及其它便携式仪器的智能电池模块中。     

智能电池技术的探索

对于“ＳｍａｒｔＢａｔｔｅｒｙ（智能电池）”的真正普及,各电池生产厂家还在继续摸索。ＳｍａｒｔＢａｔｔｅｒｙ是由ＰＣ机来管理二次电池残余量等状态的技术。该技术首次公开是在１９９５年２月,此后电池生产厂家对ＳｍａｒｔＢａｔｔｅｒｙ有很大的期望。只要规定了二次电池和ＰＣ机间的接口,就可以将同样的电池放入多数生产厂家的产品中。从最初公开技术规格开始己过去了４年,根据ＳｍａｒｔＢａｔｔｅｒｙ而生产的产品出货量确实有所增加。例如三菱电机公司在两年前还几乎没有产品,而１９９８年却已达到了４００万台。但是Ｓｍ…     

基于ZigBee技术的蓄电池容量监控方案

本文在论述ZigBee技术的特点、协议栈模型的基础上,重点阐述了目前几大IC厂商提供的器件和ZisBee技术的开发套件,提出了电动汽车电池管理系统中容量监控的ZisBee技术方案.     

60 V tolerance full symmetrical switch for battery monitor IC

For stacked battery monitoring IC high speed and high precision voltage acquisition requirements, this paper introduces a kind of symmetrical type high voltage switch circuit. This kind of switch circuit uses the voltage following structure, which eliminates the leakage path of input signals. At the same time, this circuit adopts a high speed charge pump structure, in any case the input signal voltage is higher than the supply voltage, it can fast and accurately turn on high voltage MOS devices, and convert the battery voltage to an analog to digital converter. The proposed high voltage full symmetry switch has been implemented in a 0.18μm BCD process; simulated and measured results show that the proposed switch can always work properly regardless of the polarity of the voltage difference between the input signal ports and an input signal higher than the power supply.     

A high EMS daisy-chain SPI interface for battery monitor system

A high EMS current-mode SPI interface for battery monitor IC (BMIC) is presented to form a daisy-chain bus configuration for the cascaded BMICs and the communication between the MCU and master BMIC. Based on analog and digital mixed filtering technique, the proposed daisy-chain can avoid the isolated communication issue in electromagnetic interference environment, and reduce the extensively required I/O ports of MCU, at the same time reduce the system cost. The proposed daisy-chain interface was introduced in a 6-ch battery monitor IC which was fabricated with 0.35 μm 30 V BCD process. The measurement result shows that the presented daisy-chain SPI interface achieves better EMS performance with different EMI injection while just consuming a total operation current up to 1 mA.     

基于PS501的智能电池系统

智能电池管理芯片PS501广泛应用于笔记本电脑．电动工具,外置式电池包、电动车。以及各类便携式电子产品的电池管理。[编者按]     

电动汽车电池容量的选择

分析了影响电动汽车续驶里程的因素,计算了电动汽车典型城市工况下的电能消耗,提出了电动汽车电池容量的选择方案。     

锂离子电池智能充电器硬件的设计

锂离子电池具有较高的能量重量和能量体积比,无记忆效应,可重复充电次数多,使用寿命长,价格也越来越低.一个良好的充电器可使电池具有较长的寿命.利用C8051F310单片机设计的智能充电器,具有较高的测量精度,可很好的控制充电电流的大小,适时的调整,并可根据充电的状态判断充电的时间,及时终止充电,以避免电池的过充.     

超级电容电池容量自动检测系统的研究

超级电容电池又叫双电层电容器,是一种新型储能装置,目前国内外对于超级电容电池容量的检测系统自动化程度不高,多数工作由人工控制完成。本文总结了相关蓄电池的自动检测系统,在此基础上提出了适合于超级电容电池的自动检测装置,并通过此装置检测出超级电容电池的常温容量,低温容量以及高倍率放电能力,为今后超级电容电池的自动化检测提供一套可行方案。     

Smart dual battery management system for expanding lifespan of wireless sensor node

Wireless sensor nodes have huge energy demand for their operations; they are deployed in remote locations for various applications like weather, industrial, satellite, construction, banking, and medical. Sensor nodes require continuous or uninterrupted power supply during their life cycles. When the available renewable power sources are not sufficient to run the system, the batteries are required to deliver a continuous and uninterrupted power supply. The main focus of proposed model is to design and develop a smart dual battery management system along with a hybrid energy harvesting model that can provide reliable and efficient power support to the sensor node. The problem under consideration also focuses on reducing the state of health degradation of batteries by applying a smart battery charging methodology using an ANFIS (adaptive neuro-fuzzy inference system) controller. The proposed power management system ensures and meets the expected objectives such as switching of power sources, smart battery charging methodology (constant current and constant voltage [CC-CV]), and dual battery power support using ANFIS controller. The result was obtained through the simulation and hardware prototype of the proposed system work flawlessly to meet the desired objective with partial charging and discharging of batteries for the prevention of battery degradation and also enhance the lifespan of the batteries.     

An analytical model for predicting the remaining battery capacity of lithium-ion batteries

Predicting the residual energy of the battery source that powers a portable electronic device is imperative in designing and applying an effective dynamic power management policy for the device. This paper starts up by showing that a 30% error in predicting the battery capacity of a lithium-ion battery can result in up to 20% performance degradation for a dynamic voltage and frequency scaling algorithm. Next, this paper presents a closed form analytical expression for predicting the remaining capacity of a lithium-ion battery. The proposed high-level model, which relies on online current and voltage measurements, correctly accounts for the temperature and cycle aging effects. The accuracy of the high-level model is validated by comparing it with DUALFOIL simulation results, demonstrating a maximum of 5% error between simulated and predicted data.