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Off-grid solutions based on PV-diesel hybrid systems with battery backup during night are operationally ready to provide communities with electricity services, particularly in rural areas. However, lack of efficient energy management strategies to balance supply and demand results in frequent outages especially during night and increase the diesel fuel consumption, thus leading to a fiasco. This paper...
This paper introduces a novel approach to battery management. In contrast to state-of-the-art solutions where a central Battery Management System (BMS) exists, we propose an Embedded Battery Management (EBM) that entirely decentralizes the monitoring and control of the battery pack. For this purpose, each cell of the pack is equipped with a Cell Management Unit (CMU) that monitors and controls local...
Lifetime constraint is the smallest mischance that could spell disaster to the entire embedded network. At most real time embedded devices are supported by battery backup. Low Battery life feeble the efficiency of the device, this may lead to catastrophe in hard real time. Hence lifetime constraint is considered as the significant issue in embedded device. This paper describes the solution for efficient...
The performance of batteries as uninterruptable power sources in any industry cannot be taken for granted. The failures in battery systems of safety-related electric systems can lead to performance deterioration, costly replacement, and, more importantly, serious hazards. The possible failures in battery systems are currently determined through periodic maintenance activities. However, it is desirable...
Being able to predict the Li-ion battery degradation is necessary for applications such as electric vehicles (EVs) and hybrid ones (HEVs). Most of the time, battery life prediction is based on accelerated cycling datasets obtained under different conditions. However, cell aging occurs not only during cycling but also at rest (calendar mode), the latter representing about 90 % of its lifetime. In this...
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