A battery fuel gauge, also known as a battery gas gauge, determines battery state-of-charge (SOC) and state-of-health. A battery fuel gauge IC can predict how much longer, under specific operating conditions, the battery can continue to provide power. Inadequate battery life and unreliable battery SOC reporting are some of the most common complaints about any battery-powered device. Highly accurate battery fuel gauges are needed to avoid surprise shutdowns and are critical for a positive user experience.
Our battery fuel gauges have been successfully used in over one billion devices. Time-to-empty, time-to-full, battery age forecasting, and dynamic power features extend run-time of transient loads. Industry-leading features include:
|Product||Number of Li-Ion Cells||Location||Quiescent Current||Typical Applications|
|MAX17048||Single-Cell (1S)||Host-Side||3µA||Smartwatch, True Wireless Stereo Headset, IoT|
|MAX17055||Single-Cell (1S)||Host-Side||7µA||Smartwatch, True Wireless Stereo Headset, Smartphones, Tablets, AR/VR Glasses, mPOS (Mobile Point-of-Sale), IoT|
|MAX17201/MAX17211||Single-Cell (1S)||Pack-Side with NVM||9µA||Smartphones, Tablets, AR/VR Glasses, mPOS|
|MAX17205/MAX17215||Multicell (2S+)||Pack-Side with NVM||12µA||Ultrabooks, 2-Way Radios, Robotics, Drones, Power Tools|
Our patented ModelGauge algorithm provides the industry's best accuracy for reporting battery SOC. By eliminating the current-sense resistor and other external components, our ModelGauge battery fuel gauge ICs also save cost and space.
Our patented ModelGauge m5 algorithm combines the excellent short-term accuracy and linearity of a coulomb counter, the long-term stability of a voltage-based ModelGauge battery fuel gauge, and temperature compensation to provide industry-leading fuel-gauge accuracy. In addition, as the battery approaches the critical region near empty, the ModelGauge m5 algorithm invokes a special error correction mechanism that eliminates any error. These battery gauge ICs provide accurate estimation of time-to-empty and time-to-full while charging, and three methods for reporting the age of the battery: reduction in capacity, increase in battery resistance, and cycle odometer.
Dynamic battery power technology enables the system to operate at peak performance by providing real-time information on the maximum power that the battery can deliver without violating the minimum system voltage requirement. At the same time, the algorithm enables the battery gas gauge to operate at very low quiescent current, which extends the operating life for small battery applications. Some versions include Cycle+™ age forecast and SHA-256 authentication to prevent the use of counterfeit batteries.
The ModelGauge m5 EZ algorithm makes battery fuel gauge implementation easier by eliminating battery characterization requirements. The m5 EZ algorithm delivers highly accurate battery SOC, for most use cases, without requiring the usual lengthy battery characterization process, resulting in shorter design cycles. The robust algorithm also provides tolerance of battery diversity for most lithium batteries and applications.
We also offer battery fuel gauge ICs with authentication and protection. Some devices integrate a battery gauge with a lithium-ion protector and a Secure Hash Algorithm-1 (SHA-1) or Secure Hash Algorithm-2 (SHA-2) based on the challenge-response authentication system.
Our battery gauge AFEs are precision analog front-end ICs for measuring current, voltage, and temperature. On-chip temperature measurements eliminate the need for a thermistor in the battery pack. Our battery gauge AFEs can also use temperature data to enable gain and temperature-coefficient compensation in the current measurement, thereby allowing the use of a low-cost current-sense resistor.
EZ Setup of MAX17055 ModelGauge m5 Low IQ Stand-Alone Fuel Gauge
8:16 March 29, 2017
Fundamentals of Battery Fuel Gauges
27:37 August 01, 2018
EZ Setup of MAX17201/MAX17211 ModelGauge m5 Stand-Alone Fuel Gauges
11:50 February 03, 2017