Joel Forman
Joel C. Forman, Ph.D.
Senior Associate
Materials & Corrosion Engineering
  • Natick

Dr. Forman’s educational background is in the areas of mechanical engineering and applied mathematics, and he has specific expertise in the areas of control, estimation, mathematical modeling, model reduction, optimization, and information theory. He applies his expertise to improving the performance, reliability, and safety of complex electrochemical energy storage systems, including lithium-ion batteries for medical, consumer electronics, and transportation applications. In addition, he has direct experience with abused battery performance and safety. Much of his recent work has been in the area of experimental design and large scale processing of experimental data.

Dr. Forman has extensive experience in the broad area of dynamic modeling. In the area of computational modeling he has experience with both model reduction (reducing model complexity while maintaining a high degree of accuracy) and parallel computing. In addition he has extensive experience with optimization algorithms including genetic and differential evolution. The focus of his Ph.D. thesis combined and applied these ideas to design experiments for nonlinear model parameter identification. These techniques can be readily applied to a wide variety of applications and scenarios. In practice, Dr. Forman has used them to better understand how Li-ion batteries age in a variety of conditions. While at the University of Michigan he also designed and fabricated appliance controllers that used wireless communication to manage residential loads.

Prior to joining Exponent, he worked at internships in the fields of both defense and heavy industrial equipment. While at Polatin Corporation he designed signal processing algorithms for radar applications. At the Raymond Corporation he analyzed forklifts for component stresses and stability. At the University of Michigan’s Automated Modeling Laboratory he specialized in determining and calibrating nonlinear dynamic models from experimental data. In addition he conducted a variety of experiments related to batteries including a 1.5 year battery cycling and aging study. Dr. Forman also assisted in teaching a graduate level course on modeling dynamic systems that included multi-domain models involving mechanical, electrical, hydraulic, and thermal subsystems.

CREDENTIALS & PROFESSIONAL HONORS

  • Ph.D., Mechanical Engineering, University of Michigan, Ann Arbor, 2012
  • M.S.E., Mechanical Engineering, University of Michigan, Ann Arbor, 2010
  • B.S., Mechanical Engineering, Rochester Institute of Technology, 2007
  • B.S., Applied Mathematics, Rochester Institute of Technology, 2007

Publications

Forman JC, Moura SJ, Stein JL, Fathy HK. Genetic identification and Fisher identifiability analysis of the Doyle-Fuller-Newman model from experimental cycling of a LiFePO4. Journal of Power Sources 2012 July; 210(15):263–275.

Forman JC, Bashash S, Stein JL, Fathy HK. Reduction of an electrochemistry-based Li-ion battery model via quasi-linearization and Padé approximation. Journal of the Electrochemical Society, vol. 158, no. 2, pp. A93-A101, 2011.

Moura SJ, Forman JC, Bashash S, Stein JL, Fathy HK. Optimal control of film growth in lithium-ion battery packs via relay switches. IEEE Transactions on Industrial Electronics 2011; 58(8):3555-3566.

Bashash S, Moura SJ, Forman JC, Fathy HK. Plug-in hybrid electric vehicle charge pattern optimization for energy cost and battery longevity. Journal of Power Sources 2011; 196(1):541–549.

Forman JC. Reduction of an electrochemistry-based Li-ion battery health degradation model via constraint linearization and Padé approximation. M.S.E. Thesis, Dept. of Mechanical Engineering, University of Michigan, 2010.

Forman JC. Minimally invasive characterization of lithium iron phosphate battery electrochemical and health models using Fisher information and optimal experimental design. Doctoral Thesis, Dept. of Mechanical Engineering, University of Michigan 2012.

Conference Proceedings


Forman JC, Moura SJ, Stein JL, Fathy HK. Optimal experimental design for modeling battery degradation. Dynamic Systems and Control Conference, Ft. Lauderdale, FL, 2012.

D’Amato AM, Forman JC, Ersal T, Ali AA, Stein JL, Peng H, Bernstein DS. Noninvasive battery-health diagnostics using retrospective-cost identification of inaccessible subsystems. Dynamic Systems and Control Conference, Ft. Lauderdale, FL, 2012.

Forman JC, Moura SJ, Stein JL, Fathy HK. Genetic parameter identification of the Doyle-Fuller-Newman model from experimental cycling of a LiFePO4 battery. American Control Conference, San Francisco, CA, 2011.

Forman JC, Bashash S, J. Stein, Fathy HK. Reduction of an electrochemistry-based Li-ion battery health degradation model via constraint linearization and Padé approximation. Dynamic Systems and Control Conference, Boston, MA, 2010.

Moura SJ, Forman JC, Stein JL, Fathy HK. Control of film growth in lithium ion battery packs via switches. Dynamic Systems and Control Conference, Hollywood, CA, 2009. Best Student Paper Finalist.


Professional Affiliations

The Electrochemical Society—ECS

The Institute of Electrical and Electronics Engineers—IEEE

News & Events

CREDENTIALS & PROFESSIONAL HONORS

  • Ph.D., Mechanical Engineering, University of Michigan, Ann Arbor, 2012
  • M.S.E., Mechanical Engineering, University of Michigan, Ann Arbor, 2010
  • B.S., Mechanical Engineering, Rochester Institute of Technology, 2007
  • B.S., Applied Mathematics, Rochester Institute of Technology, 2007