LabVIEW BASED HILL ASSIST AND BLACK BOX IN FOUR WHEELERS WITH BATTERY MANAGEMENT

At the present, the vehicle operation research on slope sections in mountainous areas mainly use statistical analysis to describe the correlations between operating speed and road alignment, which could not explain the vehicle’s driving risks with different dynamic characteristics on slope sections. Based on vehicle dynamic analysis, a basic operating speed of a passenger car is achieved by the dynamic model, then the model amended by road factors is acquired to predict the operating speed. The operating speed of passenger cars on some of the slope sections were carried out by LABVIEW programming and GUI visualization. The comparison of observation speed with operating one shows that the accuracy of operating speed of the forecast model is higher and has a good applicability.Mostly Battery efficiency will reduce in lower temperature. So travelling to hill stations through E-Vehicles becomes a serious issue. Hence a battery management system is needed and it is achieved through a BMS. This project utilizes a Battery Management System (BMS) to manage battery cells in Electric Vehicles (EVs).  Battery Management System is an automated control system which is employed to prevent batteries in the e-vehicle from explosion and failure.  The battery management system can be integrated with the monitoring structure which is capable of both managing, monitoring and logging the data to an online database. This system monitors the battery parameters like voltage, temperature and status of charging and discharging. These parameters are then sent and stored in a database via internet which is then shown to the user by means of an android app