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@article{164294,
        author = {MODI MOHAMMAD FAYAZ BASHA and DASARI SHOURYA VARDHAN and GUGULOTHU LAXMI NARAYANA and Dr. G. Ramesh and Dr. V. Ranjith babu},
        title = {Integrated Vehicle Health Monitoring and Predictive Maintenance System for Hybrid Electric Vehicles},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {10},
        number = {12},
        pages = {338-341},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=164294},
        abstract = {Integrated vehicle health management is a rapidly booming market globally. This aims on advanced technology for monitoring health and working conditions of a hybrid electric vehicle in real time working conditions. This growing trend allows us to introduce new electric vehicles in market with powerful motors, better driving range and better battery capacity. This makes people too complicated to choose electric cars and predict the health and working conditions of vehicle. In this paper a simulation modelling package of an electric vehicle with factors like motor ratings, Gear ratio, mass etc we can check any working condition of vehicle in real time with torque and speed, distance curves and we designed a vehicle which covers more distance is same time by reducing speed due to safety purpose for this we compared our vehicle with the BMW i4 vehicle. },
        keywords = {Electric vehicle, Electric motors, Internal Combustion engine, batteries, Vehicle Simulation, Simulink.},
        month = {},
        }