System energy models are important for energy optimization and management in mobile systems. However, existing system energy models are built in lab with the help from a second computer. Not only are they labor-intensive; but also they will not adequately account for the great diversity in the hardware and usage of mobile systems. Moreover, existing system energy models are intended for energy ...

We present a general scheme to model an energy for analyzing interfaces between crystalline solids, quantitatively including the effects of varying configurations and lattice strain. This scheme is successfully applied to the modeling of likely interface geometries of several solid state battery materials including Li metal, Li3PO4, Li3PS4, Li2O, and Li2S. Our formalism, together with a partial...

Li-air batteries have attracted interest as energy storage devices due to their high energy and power density. Li-air batteries are expected to revolutionize the automobile industry (for use in electric and hybrid vehicles) and electrochemical energy storage systems by surpassing the energy capacities of conventional Li-ion batteries. However, the practical implementation of Li-air batteries is...

The batteries of many consumer products, including robots, are often both a substantial portion of the product’s cost and commonly a first point of failure. Accurately predicting remaining battery life can lower costs by reducing unnecessary battery replacements. Unfortunately, battery dynamics are extremely complex, and we often lack the domain knowledge required to construct a model by hand. ...

Batteries play an integral role in Wireless Sensor Networks as they provide the energy necessary to operate the individual sensor nodes. In order to extend the network’s lifetime, and theoretically permit continuous operation even for systems with high-energy consumption, environmental energy harvesting has attracted much interest. It has been shown that the motes’ utility can be improved signi...

The modeling and design of an active battery cell balancing system using MultiLevel Converter (MLC) for EV/HEV/PHEV is studied. The MLC allows to independently switch ON/OFF each battery cell in a battery pack . This extra degree-of-freedom (DoF) can be exploited to optimally use each cell in order to balance among them the temperature and state-of-charge (SoC). This study has shown that the co...

Batteries of electric vehicles (BEV) are becoming more attractive with the advancement of new battery technologies and promotion of electric vehicles. BEV batteries are recharged on board vehicles using either the grid (G2V for Grid to Vehicle) or renewable energies in a stand-alone application (H2V for Home to Vehicle). This paper deals with the modeling, sizing and control of a photovoltaic s...

the satellite battery pack is one of the important and vital parts that are required for conducting special design with multiple capabilities. some parameters like the minimum weight, lack of outgassing of parts, avoiding from short- circuit in batteries inside battery pack, the possibility for making series connection in batteries, and prevention from destroying battery pack structure caused b...

We present results of a math-based model of a battery electric vehicle (BEV) designed in MapleSim1. This model has the benefits of being described in a physically consistent way using acausal system components. We used a battery model by Chen and Rinćon-Mora to develop a math-based model of a complete battery pack, and developed simple power controller, motor/generator, terrain, and drive-cycle...

This paper proposes and implements a new method for the estimation of the battery residual capacity (BRC) for electric vehicles (EVs). The key of the proposed method is to model the EV battery by using the adaptive neuro-fuzzy inference system. Different operating profiles of the EV battery are investigated, including the constant current discharge and the random current discharge as well as th...