This paper combines the discrete sliding mode observer with the weighted innovation
extended Kalman filter to improve the accuracy of the SOC estimation. The main work of this …

The adaptive fading extended Kalman filter (AFEKF) is proposed for the accuracy and
convergent speed problem of state of charge (SOC) estimation. This filter algorithm …

The accurate estimation of state of charge (SOC) is crucial for the management of the power
battery for electric vehicles. The electric vehicle often encounters data mutation when it is …

A key factor of the electric vehicle power battery management is the accurate estimation of
SOC (state of charge). Considering the measurement error and noise of the battery data …

This paper emphasizes improving the navigation performance, when refraction starlight is
used to compute the position and velocity of a satellite in unscented Kalman filter. In order to …

Ultra-low-power internet of things (IoT) devices using small batteries are used in various
fields. Estimation of battery life is important to schedule IoT devices effectively. However …

Energy harvesting provides a promising opportunity as the power source for wireless
sensors for the Internet of Things (IoT) related applications (eg smart buildings, autonomous …

(1) Id(k) = ∑ (qi × ni) 60 (2) (3) Page 1 電子情報通信学会 2020 レター特集 IoT デバイス向け一次電池
用高精度残量推定手法 松下 修平†a)(学生員) 塩浦 裕文† 福井 正博†(正員) High-Precision Primary …