A feedback-controlled battery management system for optimizing rapid charging while minimizing battery degradation

Background

Lithium-ion batteries have become the dominant energy storage technology for portable electronics, electric vehicles, and grid storage due to their high energy density, long cycle life, and relatively low self-discharge rates. As demand for faster charging grows—driven by consumer expectations for quick device turnaround and the practical needs of electric vehicles—there is increasing pressure to develop charging methods that can safely accelerate the process. Traditional charging protocols, such as the constant current/constant voltage (CC/CV) approach, are simple and reliable but often result in prolonged charging times, which can be a significant inconvenience in many real-world applications. The need for rapid, yet safe, charging solutions is therefore a critical challenge in the field of battery technology.

Despite advances in charging algorithms, current approaches struggle to balance charging speed with battery longevity. High-rate charging can cause excessive lithium-ion concentration at the anode surface, leading to lithium plating—a process that not only reduces battery capacity but also poses safety risks such as short circuits and thermal runaway. Many optimized charging methods focus on increasing speed but lack mechanisms to monitor and control the internal electrochemical states of the battery in real time, making them prone to inadvertently accelerating degradation. Furthermore, direct measurement of internal battery states is impractical, so most systems rely on external indicators like terminal voltage and temperature, which provide only indirect and often delayed information about harmful conditions developing inside the cell. This gap between external monitoring and internal state awareness limits the effectiveness of existing rapid charging solutions in preventing long-term damage and ensuring battery safety.

Technology

This technology is a feedback-controlled rapid charging system for rechargeable batteries, particularly lithium-ion cells, that intelligently balances charging speed with battery longevity. At its core, the system employs a computationally efficient, physics-based Reduced Order Model (ROM) to estimate critical internal battery states—such as surface ion concentration and state of charge (SOC)—in real time, using easily accessible measurements like terminal voltage, current, and temperature. The system continuously compares the measured terminal voltage to the ROM’s predicted voltage, calculates any discrepancy, and uses this error to correct its internal state estimates. Based on these refined estimates, the charging current is dynamically adjusted—often through pulsed or multi-level charging profiles—to avoid excessive ion concentrations that lead to degradation phenomena like lithium plating, while still maximizing charging speed.

What differentiates this technology is its real-time, model-based feedback approach, which enables a much more nuanced and protective charging process than traditional constant current/constant voltage (CC/CV) methods. Unlike conventional systems that rely solely on external measurements and fixed charging profiles, this solution leverages a physics-based ROM that closely mirrors the battery’s internal electrochemical and thermal behavior, yet is computationally light enough for real-time application. The feedback loop ensures that charging parameters are continuously optimized based on the actual internal state of the battery, not just external indicators, significantly reducing the risk of degradation and overheating. Experimental validation has shown that this method can cut charging times by up to 60–70% compared to standard methods, while also reducing capacity loss and temperature rise, making it a robust solution for both rapid charging and long-term battery health.

Benefits

• Significantly reduces battery charging time compared to traditional constant current/constant voltage methods.
• Minimizes battery degradation by preventing excessive lithium-ion surface concentration and lithium plating.
• Enables real-time monitoring and control of internal battery states such as state of charge and surface ion concentration.
• Improves battery capacity retention and extends battery lifespan through optimized charging profiles.
• Reduces temperature rise during charging, lowering thermal stress and associated risks.
• Utilizes a computationally efficient physics-based Reduced Order Model for fast and accurate state estimation.
• Supports versatile charging profiles including pulsed and multi-level current modulation for adaptive control.
• Applicable to various rechargeable battery chemistries and adaptable to different charging scenarios.

Applications

• Electric vehicle fast charging stations
• Consumer electronics rapid charging
• Grid-scale battery energy storage
• Industrial battery-powered equipment
• Drone and robotics charging systems

Additional info

This feedback-controlled system rapidly charges rechargeable batteries, primarily lithium-ion, while minimizing degradation. It employs a physics-based Reduced Order Model to estimate internal states like ion concentration in real-time. By monitoring terminal voltage and correcting estimates, the charging current is dynamically adjusted to prevent excessive ion buildup, optimizing speed without compromising battery health.