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Accurate Electrical Battery Model Capable of Predicting Runtime and I-V Performance

机译:能够预测运行时间和I-V性能的精确电池模型

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摘要

Low power dissipation and maximum battery runtime are crucial in portable electronics. With accurate and efficient circuit and battery models in hand, circuit designers can predict and optimize battery runtime and circuit performance. In this paper, an accurate, intuitive, and comprehensive electrical battery model is proposed and implemented in a Cadence environment. This model accounts for all dynamic characteristics of the battery, from nonlinear open-circuit voltage, current-, temperature-, cycle number-, and storage time-dependent capacity to transient response. A simplified model neglecting the effects of self-discharge, cycle number, and temperature, which are nonconsequential in low-power Li-ion-supplied applications, is validated with experimental data on NiMH and polymer Li-ion batteries. Less than 0.4% runtime error and 30-mV maximum error voltage show that the proposed model predicts both the battery runtime and I-V performance accurately. The model can also be easily extended to other battery and power sourcing technologies.
机译:低功耗和最大电池运行时间在便携式电子产品中至关重要。有了准确,高效的电路和电池模型,电路设计人员可以预测并优化电池运行时间和电路性能。本文提出了一种准确,直观,全面的电池模型,并在Cadence环境中实现了该模型。该模型考虑了电池的所有动态特性,从非线性开路电压,电流,温度,循环次数和与存储时间有关的容量到瞬态响应。镍氢和聚合物锂离子电池的实验数据验证了一个忽略自放电,循环次数和温度影响的简化模型,这在低功率锂离子应用中是不重要的。小于0.4%的运行时间误差和30mV的最大误差电压表明,该模型可以准确预测电池的运行时间和I-V性能。该模型还可以轻松扩展到其他电池和电源技术。

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