Mr. Rutooj Deshpande

San Francisco

Qualification - Battery Engineer at Ford Motor Company


About -

Battery Engineer at Ford Motor Company

University of California, Berkeley Post-Doctoral Fellow: Lithium Ion Batteries 2012-2013

University of Kentucky, Ph.D Chemical Engineering 2008 – 2011

University Institute of Chemical Technology (formerly UDCT) B. Chem. Chemical Engineering 2004 – 2008

Dr. Rutooj is widely recognized lithium ion battery expert with extensive battery integration experience in automotive OEM environment. He led large number of projects and teams in various roles in regards to battery design, performance & degradation, thermal management, battery capability analysis, battery controls (BMS), fast charging strategies etc.

Over 10 years of acclaimed battery research with large number of publications (>11) and approved/filed patents (9).

Ford Motor Company

Title: Battery Engineer

  • Key Functions:

  •  Lead battery pack design efforts by performing cell selection, cell characterization and cell modeling.
  • Frequently communicate with the battery suppliers for various cell requirements, supplier performance o analysis,
  • battery performance & life model developments, cell design progress and issues observed. Support the development of thermal system, battery management system, and electrical distribution system as well as the fuel economy studies/range estimation for various electric and hybrid vehicle programs.
  •  Lead the efforts for battery life model development with physics based and semi-empirical approaches. (Ford Recognition Award, 2018)
    Leverage the lithium ion battery expertise to the team (Ford Recognition Award, 2018) to investigate the various field failures, warranty issue and cell tear down data etc.
    Selected among few individuals to receive a ‘High Tech High Demand’ designation for Critical Role in an area of Ford’s Strategic Priorities, April 2017.
    Conferred with Ford Patent-In-Use Award for US patent US 20170088002A1 (2019) High voltage battery safety Level II certified Design for Six-sigma Black-belt Certified. Mentored several green-belt and black belt candidates.
  • Title: Battery Pack and Cell Engineer

– Investigated the effects of parameters such as state of charge swing (∆SOC), calendar duration, cell temperature gradient, electrode thicknesses, and cell internal pressure on battery life. (US Patent 9,509,021, Ford Recognition Award, 2014, six int’l conference presentations and invited talks).
– Battery power limit determination method improvement for BMS. Battery power limit early prediction method development for high load events. (Six-sigma black belt project, US patent pending 98226606)
– Investigated effects of cell temperature gradients on cell performance and life. (SAE World Congress 2017, oral presentation)
– Conducted battery thermal system testing to characterize the thermal properties of new generation battery cooling system design. (Ford Recognition Award for ‘above and beyond efforts’, 2013)


  • Modeling Solid-Electrolyte Interphase (SEI) Fracture: Coupled Mechanical/Chemical Degradation of the Lithium Ion Battery
  • Electrode Side Reactions, Capacity Loss and Mechanical Degradation in Lithium-Ion Batteries
  • The Limited Effect of VC in Graphite/NMC Cells
  • Battery Cycle Life Prediction with Coupled Chemical Degradation and Fatigue Mechanics
  • Aligned Tio2 Nanotube Arrays as Durable Lithium-Ion Battery Negative Electrodes.
  • The Search For High Cycle Life, High Capacity, Self-Healing Negative Electrodes For Lithium Ion Batteries And A Potential Solution Based On Lithiated Gallium
  • Liquid Metal Alloys as Self-Healing Negative Electrodes for Lithium Ion Batteries
  • Mesopores Inside Electrode Particles Can Change The Li-Ion Transport Mechanism And Diffusion-Induced Stress
  • Effects of Concentration-Dependent Elastic Modulus on Diffusion-Induced Stresses for Battery Applications
  • Modeling Diffusion Induced Stresses In Nanowire Electrode Structures
  • Diffusion Induces Stresses and Strain Energy in a Phase Transforming Spherical Electrode Particle


  • Battery state of charge estimation based on current pulse duration
  • Estimation of lithium-ion battery capacity as function of state-of-lithiation swing
  • Liquid metal electrodes for rechargeable batteries