Nikolce Murgovski

Professor

Chalmers University of Technology

Sweden

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Professor Nikolce Murgovski is a faculty member at Chalmers University of Technology in Sweden. His research areas encompass thermal energy management for battery electric vehicles, autonomous vehicle collision avoidance, and optimization techniques for unmanned systems. He has recently published articles focusing on eco-driving strategies, real-time control systems, and trajectory planning in complex environments.

Articles (17)

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2025

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2024

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2023

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2023

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2023

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2023

Collaborators (4)

Jonas Fredriksson

Chalmers University of Technology

SWEDEN

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Ziyou Song

National University of Singapore (NUS)

SINGAPORE

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Sebastien Gros

Professor

NTNU

NORWAY

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Balazs Kulcsar

Prof. at Chalmers University of Technology

Chalmers University of Technology

SWEDEN

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Nikolce Murgovski

Research Interests

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About

Articles (17)

Control-Oriented Model for Thermal Energy Management of Battery Electric Vehicles

Efficient Collision Avoidance for Autonomous Vehicles in Polygonal Domains

Multi-Train Eco-Driving and Safety-Tracking Cooperative Optimization by Nonlinear Programming

Autonomous Bus Docking for Optimal Ride Comfort of Standing Passengers

Efficient Optimization-Based Trajectory Planning for Unmanned Systems in Confined Environments

Exact Obstacle Avoidance for Autonomous Vehicles in Polygonal Domains

Optimal Conflict Resolution for Vehicles With Intersecting and Overlapping Paths

Novel Results on Output-Feedback LQR Design

Optimal Thermal Management, Charging, and Eco-Driving of Battery Electric Vehicles

Stochastic Model Predictive Energy Management of Electric Trucks in Connected Traffic

Distributed Eco-Driving Control of a Platoon of Electric Vehicles Through Riccati Recursion

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

Predictive Cruise Controller for Electric Vehicle to Save Energy and Extend Battery Lifetime

Predictive energy management with engine switching control for hybrid electric vehicle via ADMM

Charge Planning and Thermal Management of Battery Electric Vehicles

Eco-Driving for Metro Trains: A Computationally Efficient Approach Using Convex Programming

Real-time Eco-Driving Control with Mode Switching Decisions for Electric Trucks with Dual Electric Machine Coupling Propulsion

Collaborators (4)

Jonas Fredriksson

Ziyou Song

Sebastien Gros

Balazs Kulcsar

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