M.S. Michigan Tech · Electrification · Systems · Controls · Data
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Systems & Electrification Engineer spanning EV powertrain, MBSE-driven architecture, embedded controls, data pipelines, and functional safety evaluation - concept through production.
01 - About
I'm Chanchal Dhiman, an Electrification & Systems Engineer currently leading EV platform conversion programs at Tennant Company. My work sits at the intersection of hardware, software, and system-level thinking - turning complex electrification requirements into robust, production-ready designs.
My academic foundation spans hybrid & EV powertrain systems, control theory, and simulation along with graduate research covering Model Predictive Control for hybrid vehicles, battery sizing optimisation, and propulsion architecture trade-off studies across ICE, BEV, and PHEV configurations.
My toolkit spans MATLAB/Simulink simulation, HIL/SIL testing, Python-driven automation, Azure cloud pipelines, and hands-on embedded prototyping: giving me end-to-end visibility from algorithm design through hardware validation.
02 - Skills
03 - Experience
04 - Projects
Developed Model Predictive Control (MPC) strategies for hybrid vehicles. Optimised battery and engine power sharing for peak efficiency across multiple drive cycles.
Applied Kuhn-Tucker optimisation to size battery packs under thermal, energy, and aging constraints - improving simulation accuracy for EV range prediction.
Modelled and compared ICE, BEV, and PHEV systems using AMESim. Evaluated gearbox ratios, motor sizing, and energy utilisation to identify optimal configurations.
Built and tested a closed-loop feedback controller for an electronic throttle body using CAN communication and real-time calibration tools.
Designed and fabricated a custom continuously variable transmission and gearbox for an all-terrain vehicle. Validated transmission ratios and efficiency using an inertia dynamometer.
Integrated Raspberry Pi with sensors for motion control and feedback in robotic subsystems. Implemented real-time data logging and control scripts in Python.
05 - Contact
Actively exploring roles in systems engineering, electrification, controls, and R&D - open to Twin Cities, remote, and hybrid positions. Available for relocation for the right opportunity.