Power Closure Panel Actuator Current Optimization
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional power closure panel systems for vehicles are inefficient in adapting to extreme temperature and grade conditions, leading to increased electrical current draw and reduced component life due to the lack of customization for specific operating conditions.
Innovation Solution
A performance optimizing system that uses sensors to determine optimal electrical current draw for the power actuator system based on vehicle voltage, ambient temperature, and grade, adjusting the speed of the lift assist mechanism to minimize current consumption and enhance efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional power closure panel systems operate without customization for specific operating conditions, then the system structure remains simple, but electrical current draw increases and component life decreases
Solution Approach 1:
The system dynamically adjusts the operation speed of the lift-assist mechanism based on real-time sensor inputs for temperature and grade conditions. The controller modifies the speed commands sent to the power actuator, transforming a static system into a dynamic one that adapts to varying environmental conditions, thereby optimizing component life without requiring complete system redesign.
Solution Approach 2:
The system incorporates sensors that continuously monitor temperature and grade conditions, feeding this information back to the controller. The controller processes this feedback and adjusts the power actuator's operation accordingly, creating a closed-loop control system that optimizes performance and extends component life based on actual operating conditions.
2Reliability
If the system uses higher electrical current draw to accommodate extreme conditions, then performance is maintained, but energy consumption increases and component life decreases
Solution Approach 1:
The system changes the operational parameters of the power actuator based on environmental conditions. By adjusting the speed parameter dynamically rather than maintaining constant high current draw, the system extends component life while optimizing energy consumption according to actual needs rather than worst-case scenarios.
Solution Approach 2:
The system transitions from static high current operation to dynamic current adjustment, modifying the power actuator's operation speed in real-time based on temperature and grade sensor inputs, thereby reducing unnecessary energy consumption while maintaining reliability.
3Adaptability or versatility
If the system is programmed by trial and error to meet all conditions, then a single calibration can be used, but the system cannot automatically accommodate variations in operating conditions
Solution Approach 1:
The system uses sensor feedback from temperature and grade measurements to automatically adjust its operation, eliminating the need for manual trial-and-error programming for each condition. The controller processes real-time data and autonomously optimizes performance across varying operating conditions.
Solution Approach 2:
The system performs self-adjustment based on sensor inputs, with the controller automatically modifying power actuator operation without external intervention. This self-service capability enables the system to adapt to varying conditions autonomously, reducing programming complexity while enhancing adaptability.
4Device complexity
If a generalized approach is used that does not customize for specific conditions, then device complexity remains low, but electrical current draw is higher than necessary
Solution Approach 1:
The system introduces dynamic adjustment capability with minimal added complexity, using sensors and a controller to modify power actuator speed in real-time. This dynamic approach reduces unnecessary energy consumption compared to static generalized operation, while maintaining reasonable system complexity.
Solution Approach 2:
The system changes operational parameters based on environmental conditions, allowing energy optimization without requiring complete system redesign. By adjusting the speed parameter dynamically, the system reduces electrical current draw while maintaining acceptable complexity levels.
Data Source
AI summary
A power optimizer system for power closure panels includes a closure panel power actuator system comprising at least a motor operatively connected to a lift-assist member and a closure panel counterbalancing member. A controller is configured at least to determine an optimal electrical current draw for the power actuator system according to one or more inputs relating at least to a vehicle ambient temperature and grade. One or more sensors are provided for providing the one or more inputs. The controller may also further be configured to receive a vehicle battery voltage condition input for calculating the optimum electrical current draw consistent with the environmental conditions to efficiently control the power actuator system motor. Methods of modeling/optimizing the appropriate electrical current draw for power closure systems operating in varying voltage, temperature and grade conditions relative to a vehicle, or other similar mechanisms are also described.