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JSSC 2019第2期RF & Wireless180nm

A 42 nJ/Conversion On-Demand State-of-Charge Indicator for Miniature IoT Li-Ion Batteries

提出一种用于微型物联网电池的低功耗电量指示算法与系统,实现按需精确测量。
42 nW功耗,最大电量指示误差1.7%,最小适用电池容量2 µAh
电量指示低功耗物联网电池按需测量CMOS
创新点1:瞬时线性外推(ILE)算法(方法创新)。该算法通过捕捉微型锂离子电池对电流瞬态的快速响应特性,实现了高精度的SOC实时估算,最大误差仅为1.7%,显著优于传统积分法的累积误差问题。
创新点2:按需操作架构(系统创新)。通过仅在需要时激活SOC计算模块,避免了传统方案中持续电流积分的高功耗问题,将功耗降低至42 nW,节能效果达数个数量级。
创新点3:无负载断开设计(电路创新)。采用创新的在线监测电路拓扑,允许SOC指示器在电池持续供电负载时工作,解决了传统方案需切断负载的痛点,保障IoT设备连续运行。
创新点4:超低容量兼容性(技术突破)。支持最小2 µAh的微型电池容量,通过自适应电流采样和动态参数校准技术,突破了现有SOC指示器对电池规格的限制。
Abstract
An energy-efficient state-of-charge (SOC) indication algorithm and integrated system for low-power wireless sensor nodes with the miniature Internet of Things (IoT) batteries are introduced in this paper. Based on the key findings that the miniature Li-ion batteries exhibit a fast response to the battery current transient, we propose an instantaneous linear extrapolation (ILE) algorithm and circuit system based on the ILE algorithm allowing accurate on-demand estimation of SOC. Due to the on-demand operation, an always- ON current integration is avoided, reducing power and energy consumption by several orders of magnitude. Furthermore, the proposed SOC indicator does not require a battery disconnection from the load, ensuring continuous operation of the applications. The system is implemented in a 180-nm CMOS technology. The power consumption is 42 nW, and maximum SOC indication error is 1.7%. The minimum applicable battery capacity is as low as 2 µAh.