Battery Power for Consumer Electronics

This presentation introduces the practical implementation of Electrochemical Impedance Spectroscopy into fuel gauge ICs. This approach enables in-situ monitoring of battery interface integrity and impedance through internal excitation signals and response measurement in real-time. Combined with our adaptive algorithm specifically designed for silicon-containing anodes, this solution provides more accurate tracking of State-of-Charge and State-of-Health throughout battery lifetime, delivering reliable runtime estimation and safety management for consumer electronics.

State of charge indication relies on correlation of open circuit voltage with Depth of Discharge. Established chemistries have a stable OCV vs DOD relationship over the age of the battery. However, new chemistries with higher energy density but with less stable OCV are appearing. One example is Si-anode, with larger capacity, but rapid change of cells OCV. We will discuss the TI solution for this issue and analyze its accuracy.

This presentation explores the concept of lifelong quality, highlighting key industry trends and their implications in today’s marketplace. It emphasizes the importance of a holistic design approach that integrates product development and manufacturing from the outset. Through a series of illustrative hypothetical scenarios, the session will examine common challenges and practical strategies for achieving enduring product excellence.

This presentation explores innovative battery designs tailored for augmented reality glasses. We examine the unique power demands and spatial constraints of these devices, proposing solutions that enhance energy efficiency, reduce weight, and extend operational lifespan. By integrating advanced materials and smart battery management systems, our research aims to improve user experience and device performance in immersive applications, paving the way for future developments in augmented technologies.

Within the medical device market, lithium-ion batteries power everything from miniature implantable products to large hospital capital equipment. Delivering the utmost safety and reliability to our patients requires a unique focus on requirements and a clear understanding of the use conditions. Here, we will examine how some of these aspects influence the design and use of lithium-ion cells and packs in medical devices.

This presentation focuses on G2CFx, Integer’s next-generation primary battery technology designed for implantable medical devices. G2CFx delivers improved longevity and higher rate capability, enabling BLE communication while supporting flexible geometries such as cylindrical and complex 3D designs. Applications include leadless pacemakers, ICMs, smart orthopedics, and implantable glucose monitors. Long-term characterization data will be shared, highlighting performance advantages for advanced medical solutions.

AI-enabled consumer electronics are driving higher power demands from battery systems. Microsoft, in collaboration with other industry leaders, explored how tab architecture affects power delivery and thermal behavior in pouch cells. Optimized tab designs offer a practical lever to reduce impedance and heat generation without changing cell chemistry. Our findings show that thoughtful tab configurations can boost peak power output with minimal impact on energy density or cycle life, supporting the development of cooler, more efficient batteries for high-performance applications.

Li-ion batteries are used in many products. While always full charging and fast charging give users psychological safety, batteries degrade faster. Today’s “if-then” based adaptive charging automatically reduces charging level and charging speed. This may lead to battery longevity extension as long as user’s usage pattern matches “if-then” conditions. There is an opportunity of further longevity extension by considering each user’s unique usage pattern and automatically customizing the algorithm by machine-learning and deep-learning. This session explains context-based charging, a machine-learning/deep-learning hybrid algorithm, that extends battery longevity even further. Implementation example and application to next generation Li-ion batteries are also explained.

Maximising the impact of battery test data requires a thoughtful metadata architecture that enables AI Learning and Agents for a robust, centralised, curated, and democratised data source. Through practical approaches to organising and enriching battery-related datasets, this presentation discusses the Surface Battery Development Characterisation Lab methods to mitigate the "garbage in, garbage out" pitfalls and support the notion that all data can be useful within the appropriate context.

Domestic battery pack and cell production in the U.S. have filled primarily niche roles over the past 25 years. Concern over tariffs and geopolitical instability has resurrected interest in establishing high volume battery manufacturing in the U.S. This presentation will discuss the future of battery manufacturing in the U.S. given the significant hurdles that must be overcome.

• Do U.S. manufacturers need a technological advantage to compete with Asia?
• Has funding for battery ventures dried up after so many failed attempts?
• How can U.S. manufacturers learn to scale production effectively?
• Is establishing a domestic supply chain essential for success?

A harmonized approach, across the U.S., is the goal of the Environmental Protection Agency for rechargeable battery extended producer responsibilities as they prepare a 2026 Congressional report on "Battery Collection Best Practices and Battery Labeling Guidelines." OPEI, an international trad association, remains engaged and represents more than 100 manufacturers and their suppliers of gas and electric-powered outdoor power and transport equipment, with domestic yearly shipments of nearly 40 million products.