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RESEARCH & INNOVATION

Research at CESRG

Advancing control, energy storage, battery management and intelligent energy systems through mathematical modeling, advanced control and real-time implementation.

19.37M PKR Current Project Funding
8 Current Research Contributions
2 Completed Projects
ACB Active Cell Balancing Focus

Current Research

Our current flagship research focuses on intelligent battery systems for electric mobility and range extension.

Project 01 · Current

Design and Development of Intelligent Battery Pack for Range Extension of Electric Scooter

Funding Amount 19.37 Million PKR
Project Code: PSF-CRP/TUBITAK-IV/EV/C-COMSATS (26)
Area: Battery Management & EVs
Core Technology: Active Cell Balancing

Project Team

Dr. Ali Arshad Uppal   · PI, Pakistan Dr. Qadeer Ahmed   · Co-PI, USA Dr. Ahmad Yar · RA Mr. Afaq Ahmed · RA Mr. Sohail Ahmad · RA Mr. Azmatullah · PhD Student Ms. Sheharbano · PhD Student

Background

The EV market is steadily growing, with projections indicating over 672 million EVs by 2050. Lithium-ion battery packs form the core of EVs.

Cell imbalance may cause premature battery pack shutdown due to the weakest cell. Active Cell Balancing (ACB) redistributes energy to improve safety and range.

Intellectual Merit

  • Power-loss-aware modeling of ACB networks
  • Unified cell modeling for local and global optimization
  • Range-extension-aware NMPC design

Broader Impact

  • Improved EV safety and reliability
  • Reduced emissions and battery degradation
  • Enhanced driving range and affordability

Proposed Research

01
ACBN Selection

Selection of an appropriate Active Cell Balancing Network.

02
Cell Modeling

Mathematical modeling of SoC, thermal dynamics and voltage.

03
Loss Modeling

High-fidelity balancing current and power-loss modeling.

04
NMPC Design

Range-aware Nonlinear Model Predictive Control design.

05
Simulation

Simulation-based performance evaluation.

06
Prototype

Real-time prototype development and implementation.

Research Contributions

01 Model-Based Quantitative Analysis of a Capacitive Cell Balancing Technique using State-of-Charge (SoC) Estimator
02 Power Losses Aware Nonlinear Model Predictive Control Design for Active Cell Balancing
03 Nonlinear Model Predictive Control Design for Active Cell Balancing and Thermal Management
04 Model-Based Quantitative Analysis of Power Losses Aware Active Cell Balancing Networks with Load
05 Performance Analysis of Model Predictive Controllers for Active Cell Balancing of Electric Vehicle Battery Packs
06 NMPC-Based Performance Evaluation of Active Balancing Networks of Lithium-Ion Batteries for Overnight EV Charging
07 Design and Evaluation of Nonlinear Model Predictive Control for Active Load Balancing in Adjacent Battery Cells
08 Scalable and Modular Control Framework for Managing Active Cell Balancing Challenges in Battery Packs

Completed Projects

Previous CESRG projects contributing to advanced battery systems and intelligent energy conversion research.

Completed Project

Optimal Control of Active Cell Balancing Network for Lithium-ion Battery Pack

Funding Amount: 0.4 Million PKR

Project Team

  • Dr. Ali Arshad Uppal · PI
  • Dr. Syed Bilal Javed · Co-PI, NESCOM
  • Dr. Rizwan Azam · Co-PI, COMSATS
Completed Project

Machine Learning Based Control-Oriented Modeling of Underground Coal Gasification

Project Team

  • Dr. Ali Arshad Uppal · PI
  • Mr. Afaq Ahmed
  • Dr. Syed Bilal Javed

Research Contributions

→ Nonlinear-Control-Oriented Modeling of the MultiVariable Underground Coal Gasification Process for UCG Project Thar: A Machine Learning Perspective → State-Dependent Kalman Filter Design for Nonlinear Dynamic Modeling of Underground Coal Gasification Process → CAVLAB Simulator for Underground Coal Gasification (UCG) Energy Conversion Process

Core Research Areas

CESRG research connects advanced control theory with practical energy and electrification challenges.

Nonlinear Control Model Predictive Control Active Cell Balancing Battery Management Systems Lithium-ion Batteries Electric Vehicles Energy Storage Thermal Management Machine Learning State Estimation Embedded Systems Intelligent Energy Systems
Theme