Fuzzy Logic Based Energy Management System For Hybrid Electric Vehicles
Presented by: D. Navin Sam
Hybrid Electric Vehicles (HEV) uses combination of an ICE (internal combustion engine) and electric motors. Overall performance of an HEV with respect to fuel economy and reduction in emission depends on the individual components and good coordination of these components. This energy management strategy is also called as Power Control strategy. The most important and challenging task of energy management strategy is to distribute the vehicle demand power to the ICE and the Electric motor optimally in real time. Due to the complexity of a hybrid electric system, conventional design methods that rely on an exact mathematical model are limited. Fuzzy control is one of the most active and fruitful areas where fuzzy set theory is applied. It is feasible and advantageous to employ fuzzy logic control techniques to design the energy management strategy for a hybrid vehicle system. To achieve this, a general rule based energy management strategy along with the implementation of a fuzzy logic based HEV energy management strategy will be discussed in this webinar. Optimization results and comparisons will also be shown.
Researchers, electric vehicle designers, all the undergraduate students of electrical engineering domain
ABOUT THE SPEAKERS
D. Navin Sam works as a Trainer in Tata Jyothi Integrated Industrial Incubation Center. He Completed his Bachelors Degree in Electrical and Electronics Engineering in the year 2013 from Anna University Chennai. He completed his Masters Degree in Power Electronics and Drives in the year 2015 from Anna University Chennai. He worked as an Assistant Professor in Bethlahem Institute of Engineeing from 2015 to 2018 and in Karpagam Institute of Technology from 2018 to 2021. He Secured Best Teacher Award from InSc for the academic year 2019-2020. His research areas includes design of Power Converters, Power Factor Correction and Electric Vehicles.
Tags & Topics for This Webinar:
HEV-Hybrid Electric Vehicle; FLC-Fuzzy logic control; ICE-Internal Combustion Engine; EM-Electric Motor
AFTER THE WEBINAR IS PRESENTED
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