Transmission Shift Scheduling for Aftertreatment-Aware Emissions Control

The patent implements dynamic transmission shift schedules that adjust shift points in real-time based on aftertreatment system state and vehicle operating conditions. The controller continuously monitors parameters such as exhaust temperature, aftertreatment component health, and vehicle load to dynamically modify shift schedules, transitioning from fixed to adaptive control to optimize emissions compliance while managing complexity through systematic decision-making algorithms.

The system changes key operational parameters including shift points, gear selection timing, and transmission ratio transitions based on aftertreatment system requirements. By adjusting these parameters dynamically according to exhaust temperature, component aging state, and emissions targets, the system achieves improved emissions compliance without requiring complete redesign of the transmission control architecture.

The controller implements partial dynamic adjustment by applying full dynamic shift schedule modification only when aftertreatment system performance requires it, such as during critical temperature ranges or when component degradation is detected. During normal operating conditions, the system uses standardized shift schedules, thereby reducing unnecessary control operations and associated energy consumption while maintaining emissions compliance during critical periods.

The system employs feedback mechanisms where the controller continuously monitors aftertreatment system response to shift operations and adjusts subsequent control actions accordingly. By analyzing the effectiveness of previous dynamic adjustments and current system state, the controller optimizes future control operations to achieve emissions targets with minimal energy expenditure, avoiding excessive or redundant control actions.

The control system segments the overall control logic into distinct functional modules: aftertreatment state monitoring, priority determination, shift schedule selection, and execution control. Each module handles a specific aspect of the adaptive process, making the overall complex system manageable through modular design. This segmentation allows the system to adapt to aftertreatment state changes while maintaining organized and maintainable control logic.

The controller performs preliminary assessment of aftertreatment system state and determines priority levels before executing shift operations. By pre-evaluating system conditions, component health status, and emissions requirements, the system prepares appropriate shift schedules in advance, reducing the computational burden during real-time operation and enabling adaptability without overwhelming control logic complexity.