Dynamic SOC Operating Window Adjustment for Battery Packs

The patent applies dynamics by making the SOC operating window adjustable rather than fixed. The control unit dynamically adapts the SOC limits based on measured uneven charge distribution among battery cells. When uneven distribution is detected, the operating window is restricted to prevent harmful conditions; when distribution is even, the window can be expanded to maximize energy utilization. This resolves the contradiction by allowing the system to maintain reliability only when necessary while maximizing energy availability when safe.

The patent changes the parameters of the SOC operating window based on the state of charge distribution among battery cells. The control unit monitors the SOC of individual cells and adjusts the overall pack SOC limits accordingly. This parameter adaptation allows the system to optimize between safety margins and energy availability, restricting the window only when cell imbalances exist and allowing broader operation when cells are evenly charged.

The patent implements a dynamic SOC operating window that adapts to the real-time charge distribution state of battery cells. The control unit continuously monitors individual cell SOC levels and adjusts the permissible operating window accordingly. This dynamic approach ensures safety by restricting operation when cell imbalances exist, while maximizing vehicle range by allowing broader SOC utilization when cells are evenly charged, thus resolving the contradiction between safety and productivity.

The battery management system performs self-service by autonomously monitoring its own internal state (cell charge distribution) and automatically adjusting its operating parameters (SOC window) without external intervention. This self-regulation ensures the system maintains safe operation while optimizing its own performance and range, eliminating the need for conservative fixed limits.

The patent replaces complex physical measurement systems with an electronic control-based estimation approach. Instead of using additional sensors or complex hardware to directly measure individual cell SOC with high precision, the system uses a control unit to calculate and estimate SOC based on electrical parameters (voltage, current, temperature) and battery characteristics. This substitution achieves accurate SOC determination while avoiding the complexity of additional measurement hardware.

The control unit acts as an intermediary that processes electrical measurements and battery model data to estimate individual cell SOC levels. Rather than directly measuring each cell's charge state with complex instrumentation, the control unit uses electrical parameters and algorithms to infer SOC, providing accurate information with simpler means and enabling appropriate operating window adjustment.