Fuel Gauge---MAX17260

0 Preface/Foreword

0.1 公司介绍

ANALOG DEVICES: 混合信号和数字信号处理IC | Analog Devices

中文名:亚德诺 (ADI)

收购公司:美信集成(Maxim)

1 MAX17260介绍

1.1 General information/description (概述;一般说明)

The MAX17260 is anultra-low powerfuel gauge ICwhich implements the Maxim ModelGauge m5 algorithm. The ICmonitorsa single-cell battery packand supports both high-side and low-sidecurrent sensing.

  1. ampere: 安培
  2. coulomb:库伦(电量单位)
  3. odometer:记程仪;里程表

Thisalgorithmmakes fuel gauge implementation easy byelimiatingbatterycharacterizationrequirements and simplifying host software interaction. The algorithm providestolerance againstbattery diversity for most lithium batteries and applications. The algorithm combines the short-term accuracy andlinearityof acoulomb counter(库仑计) with the long-term stability of a voltage-based fuel gauge, along with temperature compensation to provideindustry-leadingfuel gauge accuracy. The IC automaticallycompensatesforcell-aging(电芯老化),temperature,discharge rate, and providesaccurate state-of-charge(SOC)in percentageandremaining capacity(剩余容量) inmilliampere-hours(mAh) over a wide range of operating conditions. As the battery approaches the critical region near empty, the algorithm invokes a special correction mechanism that eliminates any error. The IC providesaccurate estimation(精确评估)oftime-to-empty(放空时间) andtime-to-full(充满时间) and provides three methods for reporting theage of the battery:reduction in capacity, increase in batteryresistance(电池阻抗), and cycleodometer(记程仪;里程表).

1.2 Applications

相关应用如下所示:

  • Wearables, smartwatches
  • Tablets,2-in-1Laptops. (二合一笔记本电脑)
  • Bluetooth headsets
  • Health and fitness monitors
  • Digital Still, Video, and Action Cameras
  • Medical Devices
  • Handheldcomputers and terminals. (手持)
  • Wireless Speakers
  • Home and Building Automation, Sensors
  • Portable Game Players
  • Toys

1.3 Benefits and Features

  • ModelGauge m5 EZ
    • Nocharacterizationrequried for EZ performance. (特征化)
    • Robust againstbattery variation. (对xxxx具有鲁棒性)
    • Eliminates Error Near Empty Voltage.
    • EliminatesCoulomb-Counter Drift.(库伦计数漂移)
    • Compensatesfor age, current, and temperature.
    • Dose not require empty, full, or idle states
  • Low 5.1uA operating current
  • Accuratecurrent sensing
    • High-sideor low-side sensing option (高侧或低侧)
  • Wide senseresistor range: 1m ohm to 1000m ohm.
  • Trace sensingwith temperature compensation.
  • Supports Li+ and variants including LiFePO4.
  • Thermistoror internal temperature. (热敏电阻)
  • Dynamic power estimatespower capabilityduring discharge.
  • Time-to-empty and time-to-full estimation,
  • predictremaining capacityundertheoretical load. (理论载荷)
  • No calibration required
  • Alert indicatorfor voltage, SOC, temperature, current, and 1% SOC change.

1.4 Simple Fuel-Gauge Circuit diagram

1.5 Absolute Maximum Ratings

  • operating temperature range
  • junctiontemperature: 结温
  • storage temperature
  • soldering temperature (reflow)

1.5.1 Junction temperature

Junction temperature:简称Tj,中文一般称为:芯片结温或PN结温度。它表示的是:芯片内部实际工作的半导体结 (晶体管、MOSFET、二极管)所在位置的温度。

注意:

  • 不是环境温度:ambienttemperature,Ta
  • 不是PCB温度
  • 不是芯片外壳温度,CaseTemperature,Tc
  • 而是芯片内部最热点的位置温度。
  • 通常是Tj > Tc > Ta。

1.6 Electrical Characteristics

  • Power supply
    • supply voltage
    • shutdown supply currrent
    • hiberante supply current
    • active supply current
    • regulation voltage
    • startup voltage
  • Analog-to-digital converntion
    • BATT measurement error:7.5 mV
    • BATT measurement resolution:78.125uV
    • BATT measurement range:2.3 - 4.9 V
  • Input/output
    • External thermistance resistance
    • battery-detachdetection threshold.
    • battery-detach detction thresholdhysteresis(迟滞;滞后;磁滞)

1.7 PIN configuration

TDFN PINWLP PINNAMEFUNCTION
2,3,4,5-NCNo Connection
1A1THThermistor Input, Connect a thermistor from TH to GND. TH also provides battery insertion/removal detection. Connect to BATT if no used.
14A2SCLSerial clock input. 2-wire clock line. Input only, SCL has an internal pulldown for sensing disconnection.
13C1SDASerial data input/output. 2-wire data line. open-drain output driver. SDA has an internal pulldown for sensing disconnection.
7A3CSNsense resistor negative sense point. on start up, the CSN voltage is measured to determine whether it is a high-side or low-side application. For a low-side application, Kelvin connect to the system side of the sense resistor; for ahigh-sideapplication, Kelvin connect to the cell side of thesense resistor.
10C2CSPHHigh-side sense resistor positive sense point. for a high-side current sensing application, Kelvin connect to thesystem sideof an external high-side sense resistor. For a low-side current sensing application, tie to the BATT PIN.
9-CSPLLow-side sense resitor postitive sense point. Kelvin connect to the cell side of the sense resistor.
6B1BATTIC power supply andbattery voltagesense input. Connect to the positive terminal of a battery cell.Bypasswith a 0.1uF capacitor to GND.
-C3GND/CSPLIC Ground and low-side sense resistor positive point. Kelvin connect to the cell side of the the sense resistor.
8-GNDIC Ground
11B3REGInternal 1.8Vregulatoroutput,bypasswith an external 0.47uF capacitor to GND. Do not load externally.
12B2ALRTAlert output. The Alert pin is anopen-drainactive-lowoutput which indicates fuel-gauge alerts. Connect to GND if not used.

1.8 Functional Diagram

Detailed description:

  • The max 17260 is an ultra-low power fuel gauge IC which implements theMaxim ModelGauge m5 EZalgorithm. The IC measure voltage, current, temperature accurately to produce fuel gauge results. The ModelGauge m5 EZ robust algorithm provides toleranceagainstbattery diversity. This additonal robustness enables simpler implementation for most applications and batteries by avoiding time-consuming battery characterization.
  • The ModeGauge m5 algorithm combines theshort-termaccuracy and linearity of a coulomb-counter with thelong-termstability of avoltage-basedfuel gauge, along with termperature compensation to provideindustry-leadingfuel gauge accuracy. The IC automatically compensates for aging, temperature, and dischage rate and provides accurate state of charge (SOC) in percentage (%) andremaining capacityin milliampere-hours (mAhr) over a wide range of operating conditions. Fuel gauge error always converges to 0% as the cell approaches empty.
  • The IC has a register set that is compatible with Intel's DBPT v2 dynamic power standard. Thisallowsthe system designer to safely estimate the maximum allowed CPUturbo-boost(涡轮增压)powe level in complex power conditions. The IC provides accurate estimation of time-to-empty and time-to-full and provides three methods for reporting theage of battery:reduction in capacity,increase in battery resistance, andcycle odometer.
  • The IC contains a unique serial number.
  • Communication to the hostoccursover standardI2C interface.

1.8.1 ModelGauge m5 EZ performance

  • ModelGauge m5 EZperformance providesplug-and-playoperation when the IC is connnected to mostlithum batteries. While the IC can be custom tuned to the application' specific battery through acharacterization processfor ideal performance, the IC has the ability to provide good performance for most applicationswith no custom characterization required.
  • The ModelGauge m5 EZ provides good performance for most cell types. For some chemistries, such aslithium-iron-phosphate(LiFePO4) and panasonic NCR/NCA series ceells, it is suggested that the customer request a custom model from Analog Devices for best performance.
  • For even better fuel-gauging accuracy than ModelGauge m5 EZ, contact Analog Devices for information regarding cell characterization.

1.8.2 ModelGauge m5 algorithm

  • Classical coulomb-counter-based fuel gauge have excellent linearity and short-term performance. However, they suffer from drift due to the accumulation of the offset error in the current-sense measurement. Although the offset error is often very small, it cannot be eliminated. it causes the reported capabity error to increase over time and requires periodic corrections. Corrections are traditionally performed at full or empty. Some other systems also use the relaxed battery voltage to perform corrections. These systemes determine the true state-of-charge (SOC) based on the battery voltage after a long time of no current low. Both have the same limitaion: if the correction condition is not observed over time in the actual application, the error in the system is boundless. The performance of classic coulomb counters is dominated by the accuracy of such corrections. Voltage measurement based SOC estimation has accuracy limitations due to imperfect cell modeling, but does not accumulate offset errorover time. (随着时间的推移)
  • The IC includes an advanced voltage fuel gauge (VFG) that estimates open-circuit voltage (OCV), even during current flow, and simulates the nonlinear internal dynamics of a LI+ battery to determine the SOC with improved accuracy. The model considers the time effects of a battery caused by the chemical reactions and impedance in the battery to determine SOC. This SOC estimate does not accumulate offset error over time. The IC performs a smart empty compensation algorithm that automatically compensates for the effect of temperature conition and load condition to provide accurate state of charge information. The converge-to-empty function eliminates error toward empty state. The IC learns battery capacity over time automatically to improve long-term performance. The age information of battery is available in the output regsiters.
  • The ModelGauge m5 algorithm combines a high-accuracy coulomb counter with a VFG. The complementary combined result eliminates the weakness of both the coulomb counter and the VFG while providing the strengths of both. A mixing algorithm weights and combines the VFG capacity with the coulomb counter and weighs each result so that both are usedoptimallyto determine the battery state. In this way, the VFG capacity result is used to continueouly make small adjustments to the battery state, cancelling the coulomb-counter drift. (最佳地)
  • The ModelGauge m5 algorithm uses this battery state information andaccounts fortemperature, battery current, age, and application parameters to determine the remaining capacity to the system. A the battery approaches the critical region near empty, the ModelGauge m5 alrogorithm invokes a special error correction mechanism that eliminates any error.
  • The ModelGauge m5 algorithm continually adapts to the cell and application through independent learning routines. As the cell ages, its change in capacity is monitored and updated and the voltage-fuel-gaugedynamicsadapt based on cell-voltage behavior in the application.

1.9 ordering information

1.10 typical application circuits

1.11 layout guidelines

1.12 Register memory map

1.12.1 Model-Gauge m5 related

1.12.2 serial number format

1.12.3 ModelGauge m5 EZ configuration registers

  • The following registers are inputs to the ModelGauge m5 algorithm and store characerization information for the application cells as well as important application specific parameters.They are described briefly here.
  • Only the following informationis requiredfor configuring ModelGauge m5 EZ:
    • Label capacity - DesignCap
    • Empty Voltage - VEmpty
    • Charge Termination Current - ICHGTerm

2 项目应用

2.1 原理图设计

相关新闻

语法分析实战:从LL(1)预测表到LR分析器的C++实现

语法分析实战:从LL(1)预测表到LR分析器的C++实现

简介:编译原理语法分析实验的C代码与题面说明,面向需完成递归子程序法语法分析程序设计的学生,适合自学编译器实现的人士;资源包共2个文件,包括doc格式的问题描述和cpp格式的完整源码,压缩包仅17KB&#xf…

2026/10/20 1:52:11 阅读更多 →
JavaWeb购物商城源码实战:从环境搭建到二次开发避坑指南

JavaWeb购物商城源码实战:从环境搭建到二次开发避坑指南

简介:这是一套基于JSP与Servlet技术实现的JavaWeb购物商城项目源码,面向学习JavaWeb开发的学生与初级开发者,可作为课程设计、毕业设计或实战练手的参考案例。项目围绕用户注册登录、商品浏览、购物车管理、订单提交与跟踪、管理员后台等模块…

2026/10/20 1:52:11 阅读更多 →
AI芯片软硬件协同设计实战:从架构选型到算子映射与编译器优化

AI芯片软硬件协同设计实战:从架构选型到算子映射与编译器优化

/* MD / 富文本中的 .toc(含博客园搬家等嵌套结构);.toc-box 在侧栏,不受影响 */#content_views .toc,/* 编辑器常在目录前后插入空 p(:empty 仍占 20px),一并去掉避免顶空隙 */#content_views.markdown_views > p:empty:has(+ .toc),#content_views.markdown_views …

2026/10/20 1:52:11 阅读更多 →

最新新闻

调教Stable Diffusion注意力机制,让出图更清晰

调教Stable Diffusion注意力机制,让出图更清晰

1. 先别急着加高清修复,问题多半出在注意力分配上先说个不少人踩过的坑:用Stable Diffusion出图,总感觉边缘发虚、细节糊成一团,第一反应往往是把分辨率从512拉高到1024,或者直接开Hires. fix,结果要么显存…

2026/10/20 3:27:05 阅读更多 →
加密狗复制风险与工控软件授权管理:从停产事故看正确应对方式

加密狗复制风险与工控软件授权管理:从停产事故看正确应对方式

上个月我去一家做汽车零部件加工的朋友那边聊设备改造,正好撞上他们车间的一件急事:产线上一套工艺管理软件的加密狗突然失效,操作员报错、工艺配方调不出来,整个班组停了半个多小时。朋友的第一反应不是联系软件供应商&#xff0…

2026/10/20 3:27:05 阅读更多 →
Unity Scroll View Content配置全解:滚动失效排查与动态列表实战

Unity Scroll View Content配置全解:滚动失效排查与动态列表实战

聊起Unity里的Scroll View,十个新手有九个都栽在Content设置上。上周交流群里又有人发截图问:东西全拖进Scroll View了,为什么滚不动、显示不全、滚动条乱蹦?问题基本都出在Content这个子节点上。这篇专门讲Scroll View下Content的…

2026/10/20 3:27:05 阅读更多 →
AI Agent核心能力拆解与工程落地实战指南

AI Agent核心能力拆解与工程落地实战指南

各位做技术、做产品的朋友,最近是不是隔三差五就被"AI Agent"这个词刷屏?团队研讨它在讲,朋友圈技术博主在聊,产品评审会也在问"为什么不做成Agent"。但如果真让你一句话讲清楚它到底是什么,很多人…

2026/10/20 3:27:05 阅读更多 →
OpenAI兼容格式接入中文大模型:从密钥配置到流式输出实战

OpenAI兼容格式接入中文大模型:从密钥配置到流式输出实战

我先说个结论:如果你现在手里攒着一堆“用某个平台接大模型”的活儿,最省心的路线,往往不是直接用厂商自己那套SDK,而是找一个已经帮你把接口层做成了OpenAI兼容格式的数据中间件。这篇内容就围绕一个具体方案展开——用某数据云平…

2026/10/20 3:27:05 阅读更多 →
DeepSeek降AI指令5步流程:从AI味到自然学术写作

DeepSeek降AI指令5步流程:从AI味到自然学术写作

最近太多人在问“DeepSeek降AI指令怎么写”,尤其是论文写了一半,拿AI润色完,自己一读都觉得“太工整了”,然后被各种AI痕迹检测提示搞得心里发毛。先说结论:所谓“降AI”,并不是玄学,本质是让大…

2026/10/20 3:26:04 阅读更多 →

日新闻

CLRC663芯片Pin-to-Pin替代实战:从评估到量产全记录

CLRC663芯片Pin-to-Pin替代实战:从评估到量产全记录

/* MD / 富文本中的 .toc(含博客园搬家等嵌套结构);.toc-box 在侧栏,不受影响 */#content_views .toc,/* 编辑器常在目录前后插入空 p(:empty 仍占 20px),一并去掉避免顶空隙 */#content_views.markdown_views > p:empty:has(+ .toc),#content_views.markdown_views …

2026/10/20 1:01:30 阅读更多 →
ESP32舵机控制指南:原理、多路驱动与避坑实战

ESP32舵机控制指南:原理、多路驱动与避坑实战

/* MD / 富文本中的 .toc(含博客园搬家等嵌套结构);.toc-box 在侧栏,不受影响 */#content_views .toc,/* 编辑器常在目录前后插入空 p(:empty 仍占 20px),一并去掉避免顶空隙 */#content_views.markdown_views > p:empty:has(+ .toc),#content_views.markdown_views …

2026/10/20 1:01:30 阅读更多 →
位移法实现一阶低通滤波:单片机ADC采样降噪实战

位移法实现一阶低通滤波:单片机ADC采样降噪实战

/* MD / 富文本中的 .toc(含博客园搬家等嵌套结构);.toc-box 在侧栏,不受影响 */#content_views .toc,/* 编辑器常在目录前后插入空 p(:empty 仍占 20px),一并去掉避免顶空隙 */#content_views.markdown_views > p:empty:has(+ .toc),#content_views.markdown_views …

2026/10/20 1:01:30 阅读更多 →

周新闻

基于GMM的语音识别系统原理与MATLAB实现详解

基于GMM的语音识别系统原理与MATLAB实现详解

说到基于高斯混合模型(GMM)的语音识别系统,很多人第一反应就是一堆数学公式,觉得门槛很高。但如果你真的在MATLAB里把它落地跑通,会发现核心其实就是三件事:把声音变成特征向量,用GMM给每个类别…

2026/10/19 10:02:04 阅读更多 →
数字图像处理入门:反白、灰度化、调色板修改与导出txt实践

数字图像处理入门:反白、灰度化、调色板修改与导出txt实践

数字图像处理这四个字听起来挺唬人,但落到具体操作上,无非就是让计算机按你的想法“摆弄”像素。我在一个模拟项目X里用了一套特别经典的基础处理流程:对图像做反白、改调色板、彩色转灰度,最后把像素数据导出成txt文件。单看每一…

2026/10/19 17:32:41 阅读更多 →
机器人大脑技术盘点:具身智能的感知、决策与数据闭环

机器人大脑技术盘点:具身智能的感知、决策与数据闭环

如果你的信息流最近也天天刷到“机器人大脑”这个词,你会发现一个很有意思的现象:每个人说的“大脑”根本不是同一个东西。有人指的是大语言模型,有人指的是运动控制系统,还有人指的是能理解物理世界的端到端模型。在2026年这个时…

2026/10/20 2:50:50 阅读更多 →

月新闻

我发现了一个新思路:用 Remotion + Claude Code 像写代码一样自动化生成短视频

我发现了一个新思路:用 Remotion + Claude Code 像写代码一样自动化生成短视频

/* MD / 富文本中的 .toc(含博客园搬家等嵌套结构);.toc-box 在侧栏,不受影响 */#content_views .toc,/* 编辑器常在目录前后插入空 p(:empty 仍占 20px),一并去掉避免顶空隙 */#content_views.markdown_views > p:empty:has(+ .toc),#content_views.markdown_views …

2026/10/19 2:54:50 阅读更多 →
Windows下 Codex 中 Chrome 和 Computer Use 插件不可用问题排查及解决参考方式:TaoToken 统一 Key 配置与验证

Windows下 Codex 中 Chrome 和 Computer Use 插件不可用问题排查及解决参考方式:TaoToken 统一 Key 配置与验证

/* MD / 富文本中的 .toc(含博客园搬家等嵌套结构);.toc-box 在侧栏,不受影响 */#content_views .toc,/* 编辑器常在目录前后插入空 p(:empty 仍占 20px),一并去掉避免顶空隙 */#content_views.markdown_views > p:empty:has(+ .toc),#content_views.markdown_views …

2026/10/19 9:10:22 阅读更多 →
黑夜航拍船只数据集训练YOLOV5模型全流程解析

黑夜航拍船只数据集训练YOLOV5模型全流程解析

/* MD / 富文本中的 .toc(含博客园搬家等嵌套结构);.toc-box 在侧栏,不受影响 */#content_views .toc,/* 编辑器常在目录前后插入空 p(:empty 仍占 20px),一并去掉避免顶空隙 */#content_views.markdown_views > p:empty:has(+ .toc),#content_views.markdown_views …

2026/10/18 12:16:16 阅读更多 →