Forklift Performance Profile Control for Safe Throttle Tuning
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Solution Overview
Problem
Existing materials handling vehicles often exceed maximum operational limits or require adjustments based on specific applications, tasks, conditions, environments, or operators, lacking efficient performance tuning capabilities.
Innovation Solution
A control system for materials handling vehicles that includes a display with performance tuning profiles and throttle controls, allowing operators to adjust settings dynamically based on profiles and triggering events, with a processor communicating commands to modify vehicle controllers within defined limits.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If materials handling vehicles operate at maximum performance limits, then productivity and power are improved, but safety and reliability deteriorate due to excessive speed or force
Solution Approach 1:
The system dynamically adjusts vehicle performance parameters in real-time based on operating conditions, task requirements, and environmental factors. The processor continuously monitors sensor data and modifies controller settings to optimize the balance between productivity and safety, allowing the vehicle to operate at appropriate performance levels for each specific situation rather than maintaining fixed maximum limits
Solution Approach 2:
The system changes operational parameters such as speed limits, acceleration rates, and force thresholds based on predefined performance profiles and real-time conditions. Different parameter sets are applied depending on the task type, environment, and operator qualifications, enabling the vehicle to adapt its performance characteristics to maintain both high productivity and safety
2Adaptability or versatility
If performance settings are customized for specific applications and operators, then adaptability and ease of operation are improved, but device complexity increases due to multiple tuning options
Solution Approach 1:
The system uses a universal control architecture that can execute multiple performance profiles through a single integrated controller. The processor manages different task types, environmental conditions, and operator levels using one multi-functional system that selects and applies appropriate parameter sets, avoiding the need for separate physical control systems for each application
Solution Approach 2:
The system stores multiple performance profiles as digital copies of optimized parameter sets in memory. Each profile represents a predefined configuration for specific applications or operators, and the processor can rapidly switch between these copied profiles without physical reconfiguration, simplifying the implementation of multiple customization options
3Reliability
If real-time performance monitoring and adjustment is implemented, then reliability and safety are improved, but use of energy and device complexity increase due to additional sensors and processors
Solution Approach 1:
The system uses the vehicle's existing sensors and operational data to monitor performance without requiring extensive additional monitoring infrastructure. The processor leverages data already being collected for vehicle operation to assess performance parameters and make adjustments, enabling self-monitoring and self-adjustment with minimal additional energy expenditure
Solution Approach 2:
The system implements feedback loops where the processor continuously monitors vehicle performance parameters and automatically adjusts controller settings based on measured conditions. This closed-loop control enables real-time performance optimization using existing sensor feedback, maintaining reliability without requiring excessive additional monitoring equipment or energy consumption
Data Source
AI summary
A control system includes a display configured for mounting on a materials handling vehicle. The display is operative to output a first widget that displays indicia identifying a set of performance tuning profiles, and a second widget that displays indicia associated with a throttle control. A processor in data communication with the display is operatively programmed such that upon receipt of a first electronic message indicating that an operator of the materials handling vehicle selected a specific performance tuning profile from the first widget, and/or upon receipt of a second electronic message indicating that the operator interacted with the second widget to adjust the throttle control, the processor communicates at least one command across a vehicle network of the materials handling vehicle to modify a parameter associated with a vehicle controller, within limits defined by the selected electronic performance tuning profile and throttle control.