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With the advent of hybrid and electric cars battery monitoring systems and battery management systems have become bundled with more and more sophisticated algorithms and specifications. The validation of these systems are a head ache for OEMs and Tier ones considering the massive battery, high voltage and the current involved with the real loads directly or in directly connected to them. This paper is aimed at providing an intuitive explanation of these challenges and solutions which employ HILS for the component level validation of the above units. . Conventional validation for these systems produce test results much later in the embedded product development life cycle which calls for an additional over head of cost, resource, time and effort. A Proposed solution is to find the accuracy of SOC, SOH estimation algorithm in the battery monitoring sensor which usually will be clamped to the real battery itself.

Hybrid and electric vehicles are becoming increasingly popular these days owing to concerns over exhaustion of conventional fuel sources, pollution from combustion, as well as high carbon foot print of these fuels. Lithium-ion batteries are widely preferred as the source of power for hybrid and electric vehicles because of their high monomer voltage and high energy density. Accurate estimation of the State of Charge (SoC) of battery is crucial in the electric vehicle. It provides the information on the range of operation of the vehicle. It also ensures the safety and reliability of the battery unit. Accurate State of Charge estimation also enables more optimized battery pack design for the electric vehicle. Conventional methods for State of Charge estimation such as Coulomb counting and Open Circuit Voltage (OCV) measurement suffer from inaccuracies and is affected by noise during the vehicle operation.