Vehicle intelligence · Electrification

Designing the intelligence behind electric vehicles.

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.

11+ years in automotive engineeringGothenburg, Sweden
Prashant Lokur
MPC
THERMAL
ENERGY
CONTROL

About

Advanced control theory, grounded in real vehicle engineering.

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.

BEV thermal management

Coordinating battery, cabin, and powertrain thermal demands under real-world constraints.

Model Predictive Control

Using prediction and optimization to make energy-aware decisions over a future horizon.

Energy management

Balancing efficiency, performance, comfort, component protection, and range.

Embedded controls

Turning algorithms into robust, testable, production-oriented vehicle software.

Experience

From production controls to next-generation research.

A multidisciplinary career connecting automotive product development with research in intelligent electrified-vehicle systems.

2021 — Present

01

Doctoral Researcher

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.

2017 — 2021

02

Function Developer

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.

2015 — 2017

03

Analysis Engineer

Volvo Cars

Owned system testing for the vehicle dynamics node — verification methods, test plans, design verification, and requirement reviews with internal and external stakeholders.

2012 — 2015

04

Early career

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

Predictive thermal and energy management for BEVs

Researching methods that coordinate thermal systems and vehicle energy flows using prediction, optimization, and system-level intelligence.

Published patent application

Dynamic routing system for selecting charging stations

Inventor on work related to intelligent EV charging-stop selection, route planning, battery considerations, availability, and dynamic journey adaptation.

US 2025/0198782 A1

Selected publications

2026

Linear Quadratic Regulator Control for Integrated Thermal Energy Management in Battery Electric Vehicles

P. Lokur

17th International Symposium on Advanced Vehicle Control (AVEC '26), Tsukuba · Conference paper

2026

Energy-Optimal Thermal Management of Heat-Pump Battery Electric Vehicles

P. Lokur, N. Murgovski

IEEE Open Journal of Vehicular Technology (in press) · Journal article

2025

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

P. Lokur, N. Murgovski, M. Larsson

IEEE Transactions on Vehicular Technology, 74(4), 5467–5478 · Journal article

2024

Optimizing Thermal Energy Management in BEVs via Distributed Optimization

P. Lokur

Chalmers University of Technology · Licentiate thesis

2024

Maximizing the Energy-Saving Potential of Declutchable BEV Powertrains via Eco-Driving

Y. Xu, P. Lokur, S. Klacar et al.

IEEE ESARS-ITEC 2024 · Conference paper

2023

Distributed Model Predictive Controller for Thermal Energy Management System of Battery Electric Vehicles

P. Lokur, N. Murgovski, K. Nicklasson

IEEE Conference on Decision and Control (CDC), 8363–8368 · Conference paper

2022

Modeling of the Thermal Energy Management System for Battery Electric Vehicles

P. Lokur, K. Nicklasson, L. Verde et al.

IEEE Vehicle Power and Propulsion Conference (VPPC) 2022 · Conference paper

Contact

Let’s build more intelligent, efficient vehicles.

I write and think about advanced vehicle controls, electrification, and predictive energy management. Always glad to discuss the technical problems in this space, or to hear from others working on them.

Gothenburg, Sweden