Anand Ganesan

Doctoral Student at Automatic Control

Anand Ganesan is a Doctoral Student in the Automatic Control research group. His research work focuses on numerically efficient computational methods for Mixed-Integer optimal control problems in electrified automobiles. His research work is a part of the collaborative project between Sweden’s Innovation Agency (Vinnova), the Volvo Car Corporation, Sweden and the Chalmers University of Technology, Sweden. The research intends to develop real-time capable model-based supervisory numerical optimal control algorithms tailored to meet the needs of over-actuated powertrains and electrified vehicles.

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Effect of engine dynamics on optimal power-split control strategies in hybrid electric vehicles

Anand Ganesan, Sebastien Gros, Nikolce Murgovski et al
2020 IEEE Vehicle Power and Propulsion Conference, VPPC 2020 - Proceedings
Paper in proceeding

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