BEV thermal management
Coordinating battery, cabin, and powertrain thermal demands under real-world constraints.
Vehicle intelligence · Electrification
I’m Prashant Lokur—an automotive controls engineer and Industrial PhD researcher focused on BEV thermal management, energy optimization, model predictive control, and embedded vehicle systems.

About
My work sits at the intersection of system modeling, optimization, controls, embedded implementation, and vehicle integration.
I focus on converting complex physical and operational constraints into control strategies that improve efficiency, robustness, comfort, performance, and component protection.
The objective is not only to develop a clever algorithm—it is to make the complete system work.
Coordinating battery, cabin, and powertrain thermal demands under real-world constraints.
Using prediction and optimization to make energy-aware decisions over a future horizon.
Balancing efficiency, performance, comfort, component protection, and range.
Turning algorithms into robust, testable, production-oriented vehicle software.
Experience
A multidisciplinary career connecting automotive product development with research in intelligent electrified-vehicle systems.
01
Chalmers University of Technology · Geely Technology Europe
Industrial PhD on predictive thermal and energy management for battery-electric vehicles, developing optimization-based control that holds up under production constraints.
02
Volvo Cars
Led function development of route-based energy optimization for plug-in hybrid vehicles, alongside advanced engineering projects, requirements work, and test development. Also served as Scrum Master and acting Product Owner for the team.
03
Volvo Cars
Owned system testing for the vehicle dynamics node — verification methods, test plans, design verification, and requirement reviews with internal and external stakeholders.
04
Volvo Car Group · Tata Consultancy Services
Master's thesis on driver modelling for evasive manoeuvre steering assist, using an LQR preview controller and neuromuscular dynamics. Earlier work on battery control module verification and CAD automation.
Research & intellectual property
Industrial PhD
Researching methods that coordinate thermal systems and vehicle energy flows using prediction, optimization, and system-level intelligence.
Published patent application
Inventor on work related to intelligent EV charging-stop selection, route planning, battery considerations, availability, and dynamic journey adaptation.
P. Lokur
17th International Symposium on Advanced Vehicle Control (AVEC '26), Tsukuba · Conference paper
P. Lokur, N. Murgovski
IEEE Open Journal of Vehicular Technology (in press) · Journal article
P. Lokur, N. Murgovski, M. Larsson
IEEE Transactions on Vehicular Technology, 74(4), 5467–5478 · Journal article
P. Lokur
Chalmers University of Technology · Licentiate thesis
Y. Xu, P. Lokur, S. Klacar et al.
IEEE ESARS-ITEC 2024 · Conference paper
P. Lokur, N. Murgovski, K. Nicklasson
IEEE Conference on Decision and Control (CDC), 8363–8368 · Conference paper
P. Lokur, K. Nicklasson, L. Verde et al.
IEEE Vehicle Power and Propulsion Conference (VPPC) 2022 · Conference paper