Smart Charge System High Speed Feedback Adjustment

The patent implements a control system that continuously monitors power demand, state of charge, and timing information, then adjusts charge/discharge operations in real-time. This feedback mechanism enables the system to respond to changing load conditions and align power delivery with actual demand, eliminating the upstream mismatches that cause energy loss in traditional systems.

The system autonomously manages its own charge/discharge operations without external control. The control computer automatically receives timing information, determines optimal charge/discharge moments based on power demand and state of charge, and executes operations independently. This self-service capability eliminates the need for manual intervention while optimizing efficiency through intelligent decision-making.

The system performs charge operations in advance during periods of low power demand or low cost, storing energy before peak demand periods. By proactively charging during off-peak times and discharging during peak times, the system maintains power supply stability without requiring excessively large storage capacity, as the timing optimization maximizes the utility of stored energy.

The patent implements dynamic charge/discharge control that continuously adapts to changing conditions. Rather than using fixed, oversized storage capacity, the system dynamically adjusts its operations based on real-time power demand, state of charge, and timing information. This dynamic approach allows smaller storage systems to maintain reliability by optimizing when energy is stored and released.

The control system receives continuous feedback about power demand, state of charge, and timing information, then adjusts charge/discharge operations accordingly. This feedback enables the system to capture brief load fluctuations that simple timer-based systems miss, improving productivity while maintaining manageable complexity through automated decision-making algorithms.

The patent replaces simple mechanical timer-based control with an intelligent control computer that processes information and makes decisions based on multiple parameters. This substitution of mechanical timing mechanisms with electronic information processing enables the system to respond to complex, varying conditions without proportionally increasing physical complexity, as the control logic is implemented through software algorithms.