Due to its widespread application in the robotics field, the Kalman filter has received
increased attention from researchers. This work reviews some of the modifications …

With the increasing demand for Lithium-ion batteries in an electric vehicle (EV), it is always
crucial to develop a highly accurate and low-cost state estimation method for the battery …

Financial markets are highly complex and volatile; thus, accurate forecasting of such
markets is vital to make early alerts about crashes and subsequent recoveries. People have …

Maintenance is crucial for aircraft engines because of the demanding conditions to which
they are exposed during operation. A proper maintenance plan is essential for ensuring safe …

To effectively maintain and analyze a large amount of real-time sensor data, one often uses
a filtering technique that reflects characteristics of original data well. This paper proposes a …

Nowadays, bidirectional power transfer is a necessity for Vehicle-to-Grid technology. Making
accurate and fast SOC estimation more crucial than ever by battery management systems …

The progressive loss of functional capacity due to aging is a serious problem that can
compromise human locomotion capacity, requiring the help of an assistant and reducing …

An accurate battery management strategy is a crucial need in the developing of reliable and
viable plug in and hybrid electric vehicles. This on-board algorithm has the advantages to …

This paper proposes a novel energy consumption and power quality forecasting technique
based on the combination of poly-exponential (PE) and random forest (RF). This technique …

In this article, we present a smart monitoring wireless sensor networking (WSN) node
device, referred to as “SMARTMODE.” The indigenously developed SMARTMODE is energy …