Ram Ambatipudi is a proven cleantech and energy executive with more than 30 years of experience spanning renewable energy, EV charging infrastructure, and clean transportation. As a co-founder and former executive at EV Connect, he helped shape one of the industry's leading EV charging platforms, contributing to its growth and acquisition by Schneider Electric. Throughout his career, Ram has led business development, strategy, investment, and commercialization initiatives across solar, energy infrastructure, and emerging clean technologies, including leadership roles with Chevron Energy Solutions and other renewable energy organizations.
Battery Intelligence
Using AI-Powered Virtual Sensors
Predict, optimize, and protect battery assets through AI-powered virtual sensing
Battery Operators are in the dark about what is happening at a cell level: BMS limited to 3 Parameters: Cell Voltage, Pack Current, and Module temperature. As such, they lack accurate information on the battery’s SOC, SOH, and potential safety risks that can impact ROI and remaining useful life. Without cell-level visibility, the root causes of degradation, reduced lifespan, and safety events remain hidden allowing risk to compound across the entire battery lifecycle.
“Accuracy of measured SOC + SOH in LFP batteries is inaccurate.”
-Large Battery OEM
"Alarms and events triggered by the BMS result in high O&M costs and downtime.”
-BESS Integrator
“Lithium plating affects the two biggest metrics of batteries — safety and performance.”
-Purdue University Research
The ChargeIQ Difference
Our solution reveals what conventional battery management systems cannot.
The ChargeIQ proprietary AI platform provides highly accurate battery intelligence, empowering battery operators with the insights needed to maximize performance, extend lifespan, and mitigate risk.
Highly accurate prediction
of actual cell operating parameters
Demonstrated ability to
optimize cell performance
ChargeIQ’s Innovative Approach
List of Services
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Data CollectionList Item 1
ChargeIQ embeds Physical Sensors (3rd electrode, temperature, pressure, other) in battery cells (all Li-Ion variants today) allowing us to collect invaluable proprietary data at the cell level
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Train AI ModelList Item 2
This data is used to train an AI model that can then accurately predict battery behavior and performance (at cell level) via Virtual Sensors.
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Real-time PredictionList Item 3
ChargeIQ’s AI model can predict with HIGH Accuracy real-time operating parameters such as anode voltage, cathode voltage, SOC, SOH, etc. to provide battery operators with better insight to extend battery life, reduce degradation, improve battery safety, and increase revenue generation, resulting in improved ROI for the system owner.
Beyond Volts, Amps, and Temperature
Volts, amps, and temperature tell only part of the story. ChargeIQ unlocks the critical battery insights traditional monitoring systems can't see, using proprietary virtual sensors to improve safety, accelerate charging, extend asset life, and maximize performance.
Our Founders
Yuzhang Li is a recognized leader in advanced battery research and energy storage technologies, serving as an Associate Professor of Chemical and Biomolecular Engineering at the University of California, Los Angeles. His work focuses on next-generation batteries, nanomaterials, and cryogenic electron microscopy, with pioneering contributions that have advanced the understanding of battery performance, safety, and degradation at the atomic scale. In addition to his academic leadership, Yuzhang works closely with industry and commercialization partners to accelerate breakthroughs in energy storage, electrification, and clean energy technologies. His research has been widely published in leading scientific journals and has earned recognition from organizations including the U.S. Department of Energy and the broader battery innovation community.
Spark Studios
Spark Studios is a Los Angeles–based climate and energy tech venture studio founded in 2024, with its headquarters in Westwood, Los Angeles, California. They build and invest in early-stage climate tech startups, partnering with founding scientists or entrepreneurs as both business co-founders and investors.
