A group of researchers at the Indian Institute of Technology, Guwahati, has generated an innovative technique that could precisely gauge one of the most crucial battery internal states known as the SOC (state of charge). SOC reflects the residual capacity of this battery life, i.e., just how much more charge could be taken out from the battery until it becomes fully discharged.

The comprehension of remaining capacity helps maximize the battery’s ability usage, stop overcharging and undercharging of their battery, increases its lifespan, reduces cost, and ensures that the security of the battery along with its environment. Unfortunately, such a very significant parameter cannot be directly quantified by any detector.

We could just infer SOC by utilizing the available measured amounts like battery terminal voltage and current. On the other hand, the exceptionally non-linear facet of this lithium ion battery makes it difficult to gauge the SOC properly. Thus, a well-developed quote algorithm is essential, which may ensure accurate, reliable, and cost-effective SOC estimation,” states IIT, Guwahati announcement.

In the last several decades, lithium ion batteries are often recognized in many different applications due to their low carbon dioxide, higher energy density, reduced self-discharge speed, and reduced upkeep price. Aside from the numerous day-to-day tiny devices such as mobile phones, laptops, etc., they have been also widely used in several other vital applications like electric vehicles, Renewable Energy Sources (RES) incorporated smart grids, micro grids, etc..

The emission of greenhouse gases in burning fossil fuel in the combustion motor has made the transportation industry the utmost contributor in rising air pollution. The greenhouse gases have been proven to function as heat-trapping and consequently cause global warming. Electric vehicles (EVs) have become the most suitable alternatives to traditional fossil fuel-based cars. The battery functions as the prime power supply of electrical vehicles.

From the RES integrated smart grid, the accessibility to solar and wind power is irregular. Thus a power storage system just like a battery must keep the energy when available and use it afterwards when required. In micro-grids, intermittent RES is integrated along with the battery so that it can save energy in twenty-four hours and supply energy in peak hours or during the unavailability of renewable energy. Additionally, it helps in certain crises. In these applications, the exact estimation of SOC plays a very important part in their effective performance.

Researchers divided the problem into two components. The first was to derive the mathematical version of this lithium ion battery, which may closely display its dynamic attributes. Then, using a couple of innovative system controller and mathematical theories like slipping mode concept, they’ve tried to gauge the battery’s internal requirements just.

The proposed technique suggests the tremendously powerful attributes and works properly even in the presence of distinct external disturbances such as sensor inaccuracy, temperature variation, etc.. When compared with the present techniques, the proposed technique not only increases the precision but additionally reduces the computational time and so wants a inexpensive microcontroller chip because of its implementation/commercialization.

The research team includes Professor Somanath Majhi, Dr. Sisir Kumar Nayak, Associate Professor, and Gautam Sethia, Research Scholar. They’ve released their research in IEEE Transactions on Circuit and System-I journal. (Source: India Science Wire)

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