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CU-ICAR LAMP

Laboratory for Advanced
Mobility and Propulsion 

Graduate Research Assistant positions
(Ph.D/Ph.D Students )

Research Directions

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01 Optimal Control and Learning

Real time optimization-based planning and Reinforcement Learning for high DOF systems, with focus on computational efficiency

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03 Powertrain Electrification

Motor and power electronics control. Battery management systems and hybridized powertrain control.

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02 System Integration

Interdisciplinary technology integration and demonstration with advanced simulation tools and vehicle platforms.

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04 Engine Modeling and Control

Control of engine airpath, combustion and aftertreatment systems, with focus on model-based methods and dyno validations.

Latest Projects

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Integrated Powertrain and Mobility Control

Sponsor: VIPR-GS

High DOF vehicle control to achieve highspeed map independent offroad autonomy. Real time sample and RL based planning algorithm considering perception and dynamics uncertainties. Demonstrated on prototype wheeled vehicle platform

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Highspeed Offroad Autonomy

Sponsor: GVSC

Highspeed Offroad Autonomy, Deep Orange projects
Key words: autonomous tracked vehicle; series hybrid powertrain
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Hybrid Heavy Duty Vehicle Control

Sponsor: DOE and Achates Power

RL based control of hybrid heavy duty powertrain considering stochastic power demand. The goal is to minimize fuel consumption and polutant. Rule extraction using Interpretable RL compared to stochastic Dynamic Programming

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Optimal Thermal Management

Sponsor: VIPR-GS

Strategies for Off-Road Hybrid Electric Autonomous Vehicles in Extreme Ambient Conditions.
Subtitle: Methodologies for Real-Time Propulsion System Control and Thermal Management with Experimental Validation
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Highspeed Driverless Racecar

Sponsor: Ernst & Young, Energy Systems Network

Highspeed Driverless Racecar – Platform for Indy Autonomous Challenge, Deep Orange Project
Key words: highspeed autonomy; software integration; robust by wire systems

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High Power Density Engine Design

Sponsor: VIPR-GS

Design and Evaluation of High Power Density Engines Considering Temperature Limitations.
Subtitle: Understanding temperature and thermal limitations for Army applications

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Explicit MPC Engine Control

Sponsor: DOE and Achates Power

New Two-Cylinder Prototype Demonstration and Concept Design of a Next Generation Class 3-6 Opposed Piston Engine
Key words: electrified airpath; explicit model predictive control; engine class evaluation
We Are Hiring

Graduate Research Assistant Positions Now Hiring!
(Ph.D/Ph.D Students/Scholars)

Contact Us

Qilun Zhu, Ph.D.
Research Associate Professor
qilun@clemson.edu
(864) 283-7239
4 Research Drive
Greenville, SC 29607