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.

Source: chalmers.se
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Showing 4 publications

2024

Energy-Optimal Trajectory Planning for Electric Vehicles using Model Predictive Control

Alexandre Rocha, Anand Ganesan, Derong Yang et al
2024 European Control Conference, ECC 2024, p. 1346-1351
Paper in proceeding
2023

Numerical Strategies for Mixed-Integer Optimization of Power-Split and Gear Selection in Hybrid Electric Vehicles

Anand Ganesan, Nikolce Murgovski, Sebastien Gros
IEEE Transactions on Intelligent Transportation Systems. Vol. 24 (3), p. 3194-3210
Journal article
2023

Real-Time Mixed-Integer Energy Management Strategy for Multi-Motor Electric Vehicles

Anand Ganesan, Nikolce Murgovski, Derong Yang et al
2023 IEEE Transportation Electrification Conference and Expo, ITEC 2023
Paper in proceeding
2020

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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Showing 1 research projects

2018–2024

A new generation of algorithms for modern powertrain control

Anand Ganesan Automatic Control
Nikolce Murgovski Mechatronics
Sebastien Gros Automatic Control
Torsten Wik Automatic Control
Derong Yang Vehicle Engineering and Autonomous Systems
VINNOVA

3 publications exist
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