MAX17201G+T0E

Battery Management Analog Devices MAX17201G+T0E Overview

An integral component for contemporary battery-powered applications, the Battery Management Analog Devices MAX17201G+T0E is a high-precision battery monitor integrated circuit (IC). Developed by the reputable Analog Devices, Inc., this monitor enables the real-time surveillance of single-cell battery health and status. The sophistication of the MAX17201G+T0E rests in its advanced capabilities to accurately estimate battery capacity and manage device energy efficiency—making it crucial for manufacturers keen on delivering reliability and prolonged battery life in their products. Its small 14-TDFN packaging is beneficial for space-constrained applications, exemplifying Analog Devices' commitment to miniaturization without sacrificing functionality. This battery monitor IC becomes an indispensable factor for operations demanding meticulous energy management and is ideal for bulk purchases by B2B clients prioritizing product longevity and performance.

MAX17201G+T0E Features

• High Accuracy Battery Monitoring
• Real-Time Status Reports on Battery Health
• ModelGauge™ m5 Algorithm for State of Charge Estimations
• Robust 14-TDFN Packet for Space-Efficient Designs
• Operational in Single-Cell Li-Ion, Li-Polymer, and LiFePO4 Batteries

MAX17201G+T0E Applications

• Smartphones - Ensures precise monitoring of the battery to extend its lifespan and optimize its performance throughout the device usage.
• Portable Computing Devices - Delivers accurate energy management for laptops and tablets, facilitating improved battery efficiency and user experience.
• Wearable Technology - Integrates into compact devices like smartwatches, providing critical data for power management without compromising on space.
• Medical Monitoring Equipment - Offers the necessary reliability for devices that require consistent performance and accurate battery monitoring for patient safety.
• Uninterrupted Power Supplies (UPS) - Utilized in power backup systems to ensure accurate state-of-charge estimations for effective energy usage during power outages.