B.Ashok,

About

Dr. B.Ashok started his professional career as specialist engineer in Vehicle Electrical and Electronics at M/S. Force Motors India Ltd, Pune. During his tenure, he played a lead role in the implementation of electronic control for BS IV engine and Antilock Braking System (ABS) in vehicle portfolio. After the industrial experience, he joined as Full Professor in Automotive Department at Vellore Institute of technology, India. His expertise in Mechatronics engineering domain helps to evolve the novel interdisciplinary research in the areas of automotive electronics and automotive engineering system. Those outcomes of his research approach resulted in the publication of 2 patents and 148 research papers with cumulative SCI Impact Factor of 570. Furthermore, he has secured various funded projects from agencies like DST, ASEAN and Royal Academy, UK of 2.2 Crores INR worth in the areas of Electric vehicle development, battery thermal management, additive manufacturing application electric vehicle, Flex-fuel engine, and Biofuels. To his credit, Dr.B.Ashok has been awarded as “Top 2% Scientist in the world” for the consecutive two years by a study conducted from researchers of Stanford University recently. His current research work is focused on the powertrain calibration of electric vehicle, additive manufacturing-based chassis development for electric vehicle application, battery management system, hybrid strategy development for IC engines and flex-fuel engine development.

Employment

• VIT University Associate Professor
  2012 - Present

Education

• VIT University M.Tech
  2009 - 2011

Projects & Funding

Projects & funding information is unavailable.

Publications (181)

• Automating Driving Behavior Anomaly Qualification in Real-Time for Electric Two-Wheelers Using GRU Autoencoder
  IEEE Access 2026 DOI: 10.1109/ACCESS.2026.3656547
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• Integrated Modeling Strategy of Regenerative Braking and Battery Degradation in Electric Vehicles Using Real-World Driving Cycles
  IEEE Access 2026 DOI: 10.1109/ACCESS.2026.3659174
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• Identification of the Parameters of the Szpica–Warakomski Method’s Rectilinear Trend Complementary to the Gaussian Characteristic Area Method in the Functional Evaluation of Gas Injectors
  Sensors 2025 DOI: 10.3390/s25134020
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• Hybrid Vehicle Battery Health State Estimation Based on Intelligent Regenerative Braking Control
  World Electric Vehicle Journal 2025 DOI: 10.3390/wevj16050280
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• Potential of amyl alcohol mixtures derived from Scenedesmus quadricauda microalgae biomass as third generation bioenergy for compression ignition engine applications using multivariate-desirability analysis
  Energy Sources, Part A: Recovery, Utilization and Environmental Effects 2025 DOI: 10.1080/15567036.2021.1950872
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• Road segment and driving schedule effects in real-time operation on electric vehicle performance and operating cost analysis
  Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 2025 DOI: 10.1177/09544070231217570
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• Assessment of Adaptive Self-Learning-Based BLDC Motor Energy Management Controller in Electric Vehicles Under Real-World Driving Conditions for Performance Characteristics
  IEEE Access 2024 DOI: 10.1109/ACCESS.2024.3375753
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• Development of Supervisory Self-Learning-Based Energy Management Controller to Control the Torque Ripples of Brushless DC Motor in Electric Vehicles Applications
  Arabian Journal for Science and Engineering 2024 DOI: 10.1007/S13369-024-08823-Y
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• Development of combustion control map for flex fuel operation in methanol powered direct injection SI engine
  Energy 2024 DOI: 10.1016/J.ENERGY.2023.129695
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• Enhanced energy management of DC microgrid: Artificial neural networks-driven hybrid energy storage system with integration of bidirectional DC-DC converter
  Journal of Energy Storage 2024 DOI: 10.1016/J.EST.2024.111562
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