BEV thermal management
Coordinating battery, cabin, and powertrain thermal demands under real-world constraints.
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, SwedenOpen to global opportunities
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.
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.
Current
01
Industrial PhD Researcher
Chalmers University of Technology × ZEEKR
Researching intelligent thermal and energy management for battery-electric vehicles, connecting advanced control theory with production-focused engineering.
Previously
02
Controls Engineer
Volvo Cars
Developed and integrated automotive control functions across modeling, software implementation, calibration, verification, and vehicle-level validation.
11+ years
03
Automotive Engineering
Controls · Electrification · Embedded Systems
A career spanning control algorithm development, system modeling, embedded implementation, and multidisciplinary vehicle integration.
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.
Publications coming soon
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
Engineering playground
Explore a simplified battery thermal-control model.
This illustrative demo shows how ambient conditions, charging power, and commanded cooling can affect an estimated battery temperature and efficiency window. It is educational—not a production vehicle model.
Estimated temperature
18.6°C
Cooling demand
0%
Estimated efficiency
95.4%
StartThermal response over timeHorizon
Simplified illustrative equations. No proprietary data or control logic is represented.