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The life of a two-wheeler and its parts depend much on its usage during its years of running. The quality of its parts determine the life and efficiency; however the handling of the two-wheeler also plays a major role in estimating it's life and other performance parameters. Hence, it is beneficial to have an efficient system which enhances the life of a two-wheeler and also gives better mileage. This paper constitutes an efficient drive pattern system which addresses the above. This system consists of two main parts: the data collection system and an Android-based mobile application which runs on a mobile phone. The data collection system collects data from various sensors on the vehicle and then the data is processed and sent to the mobile phone of the rider during the run time of the two-wheeler. The application uses this data to depict useful information like drive pattern and various indicators.

State of Charge (SOC) of a storage battery gives the capacity remaining in the battery to meet the load demands. SOC of a Lead Acid battery is predicted based on the temperature compensated value of electrolytes' specific gravity (Sp. gr.). Since measuring specific gravity is not possible in an automobile under dynamic conditions, Open Circuit Voltage (OCV) is used as the parameter to predict the SOC. But OCV can indicate SOC accurately only after a sufficient period of rest of a battery in any condition. Also it varies between batteries due to several factors like temperature, ageing, electrolyte volume, internal construction, etc. Predicting the SOC of battery theoretically depends on number of equations developed to accommodate these variables. Hence for a real time estimation of SOC of battery, a Heuristic algorithm is suggested.