Magical, yet scientific!
Here’s how we created a super-smart, shockingly efficient way to charge and manage batteries
Under the hood: what is BattGenie?
BattGenie provides software solutions for battery management systems (BMS). BMSes are electronic control circuits that monitor the battery’s internal states (such as State of Charge (SoC) or simply how much charge is left in the battery) and regulate the battery’s charging. If you have a rechargeable battery powering up a device or electric vehicle near you, you’ll surely find a BMS there.
What makes BattGenie unique?
BattGenie uses physics-based battery models (porous electrode P2D models) to simulate and control the battery in any application. Depending on the battery materials and usage conditions, the physics-based models account for various physical degradation phenomena such as
Li-plating, SEI layer formation, intercalation-induced stresses, and so on. Using our patented mathematical techniques, these models are used to calculate and implement optimal charge profiles, enabling batteries to be charged in under 15-min. without compromising on cycle life.
How do optimal charge profiles help?
Optimal charge profiles can extend battery cycle life and enable faster charging. These in turn have many other benefits.
Extended battery life means a greater range of the EV.
The usage time of the battery will increase, before the need to recharge it again, because of larger battery capacity.
More range/usage time means the same performance can be extracted from the battery at a reduced battery size and weight.
Reduced battery weight in EVs will make them lighter with better acceleration.
Reduced battery size and weight in consumer electronics, large building complexes, grid storage will make these solutions more economical.
Optimal charge profiles will also control battery temperature and swell more efficiently. This will lead to safer EVs, consumer electronics, and other applications.
We have demonstrated battery cycle life improvement in excess of 100%
Compared to traditional methods of battery charging through independent testing at National Renewable Energy Labs (NREL).
Engineered to be universal
Through our patented in-house numerical solvers and optimizers, we’ve developed and tested BattGenie’s algorithms on a range of microcontrollers. BattGenie’s algorithms can be solved in milliseconds on any controller.
The future is now, but there is more to come
The future is now, but there is more to come
Venkat Subramanian
CTO, Chief Scientific Advisor, and Co-Founder
Prof. Venkat Subramanian is currently the Ernest Dashiell Cockrell II Professor of Mechanical & Material Science Engineering at the University of Texas, Austin.
His research interests include energy systems engineering, electrochemical engineering, computationally efficient algorithms for state-of-charge (SOC) and state-of-health (SOH) estimation of lithium-ion batteries, multiscale simulation, and design of energetic materials, kinetic Monte Carlo methods, model-based battery management system for electric transportation, and renewable microgrids and nonlinear model predictive control. Prof. Subramanian was awarded the Dean’s award for excellence in graduate study in 2001 for his doctoral research.
He is a Fellow of the Electrochemical Society and a past Technical Editor of the Journal of the Electrochemical Society. He was also the chair of the IEEE Division of the Electrochemical Society. His codes for Lithium-ion batteries are the fastest reported in the literature and his algorithm for solving index 1 nonlinear DAEs is the most robust compared to any other algorithm reported as of today.
Prof. Subramanian received his B.Tech. degree in Chemical and Electrochemical Engineering from the Central Electrochemical Research Institute (CECRI), Karaikudi, India, in 1997 and the Ph.D. degree in Chemical Engineering from the University of South Carolina, Columbia, SC, USA, in 2001.
Manan Pathak
CEO and Co-Founder
Dr. Manan Pathak is the Chief Executive Officer and co-founder of BattGenie.
He earned his PhD at the University of Washington, where he obtained his graduate thesis on model-based Battery Management Systems. He has 7+ peer-reviewed publications with over 300 citations, and extensive experience with physics-based battery models, numerical methods and derivation of optimal charging profiles.
Chintan Pathak
CPO and Co-Founder
Dr. Chintan Pathak is the Chief Product Officer and co-founder of BattGenie.
He earned his PhD from the University of Washington and he obtained his graduate thesis on optimal locations of battery charging stations in the state of Washington. He has over 13 years of experience in software engineering and embedded systems.
Akshay Subramaniam
Battery Modeling Scientist
Akshay Subramaniam leads electrochemical model development and identification tasks at BattGenie. He also contributes towards BMS algorithm development and validation, and helps maintain our models, databases, and testing pipelines. He received his Ph.D. from the University of Washington during which he gained extensive experience in the development of control-oriented electrochemical models. He has 10+ peer-reviewed publications and is proficient in several aspects of battery systems engineering including numerical simulation techniques, optimization for design and fast charging, parameter estimation, and battery data analysis.
Taejin Jang
Battery Simulation Scientist
Dr. Taejin Jang is a Battery Simulation Scientist at BattGenie. Dr. Jang received his Ph.D in Materials Science from University of Texas at Austin and an MS in Chemical Engineering from UW. He also has BS and MS degrees in Materials Science & Chemical Engineering from Yokohama National University in Japan. He spent three years in the automotive devices industry at Samsung Electronics. He has 7+ years’ experience in battery modeling and simulation, encompassing Li-ion and next-generation batteries.
Bing Syuan Wang
Senior Battery Software and Data Engineer
Bing Syuan Wang is the Senior Battery Software and Data Engineer at BattGenie.
He earned his Masters in Electrical Engineering from the University of Washington. He has over 6 years’ experience in software engineering and in working with battery data.
Aditya Parsai
Fullstack Software Engineer
Aditya Parsai is a Fullstack Software Engineer at BattGenie. He graduated in Civil Engineering from IIT(BHU). With 8 years’ experience, he contributes to helping businesses succeed in the digital space by staying attuned to the evolving tech landscape. His work spans from front-end development to back-end system engineering, ensuring smooth integration and functionality. He recognizes the importance of storytelling and is adept in translating complex ideas into user-friendly interfaces to enhance user experiences.
