Torque-Based CVT Control System for Heavy Equipment

The control system is segmented into multiple base control maps (first base control map, second base control map) that can be selectively applied. Each base control map contains multiple sub-maps that can be further selected based on operating conditions. This segmentation allows the system to handle different task types and environments by choosing appropriate map combinations, thereby improving adaptability without requiring a completely new control architecture.

The control system achieves multi-functionality by enabling a single transmission system to perform diverse tasks (propulsion, retarding, directional shifts, etc.) through selective application of different base control maps and sub-maps. The system can adapt to various operating modes (forward, reverse, neutral) and task types by choosing appropriate map combinations, making the transmission universally applicable across multiple work scenarios.

The control system divides the overall control functionality into segmented base control maps and sub-maps. The first base control map handles primary control functions, while the second base control map provides additional control options. Each base control map is further divided into multiple sub-maps that address specific operating conditions. This hierarchical segmentation organizes the complexity into manageable segments that can be selectively applied.

The control system dynamically selects which base control map and sub-map to apply based on real-time operating conditions, task type, and environment. The controller continuously evaluates the current state and adjusts the selected map combination accordingly, allowing the system to adapt its complexity level to match the demands of the current task rather than maintaining fixed high complexity for all scenarios.

The control algorithm achieves multi-functionality by implementing multiple base control maps and sub-maps that can be selectively applied to different task types (propulsion, retarding, directional shifts, etc.). This allows a single control algorithm to efficiently handle diverse tasks and operating conditions, improving productivity across various work scenarios without requiring separate control systems for each task type.

The control algorithm changes parameters by selecting different base control maps and sub-maps based on operating conditions. Each map contains optimized control parameters for specific task types and environments. By dynamically changing which map is active, the algorithm adjusts its parameters to match the current task requirements, thereby optimizing productivity for diverse operations.