Electric Oil Pump Control via Hydraulic Pressure Learning
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The variability in quality of electric oil pumps used in vehicles leads to inconsistent power consumption and fuel efficiency, as existing control methods often default to lowest-quality assumptions, resulting in unnecessary power consumption and decreased fuel efficiency when higher-quality pumps are used.
Innovation Solution
A method and system that learns the performance of the electric oil pump by determining learning conditions, operating it at a baseline RPM based on current oil temperature, measuring hydraulic pressure, and generating a new learning map to adjust RPM according to quality differences, thereby optimizing power consumption and fuel efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If RPM control is designed based on lowest-quality electric oil pump to ensure reliability, then all vehicles can operate without issues, but fuel efficiency decreases due to unnecessary power consumption when higher-quality pumps are used
Solution Approach 1:
The system changes the control parameter from a fixed conservative RPM setting to a dynamically adjusted RPM based on the actual oil pump quality characteristics. By measuring hydraulic pressure and comparing it with standard maps, the system identifies the pump's quality level and adjusts the RPM accordingly, transforming a one-size-fits-all approach into a customized control strategy that matches each pump's actual performance capabilities.
Solution Approach 2:
The system implements a feedback mechanism where the actual hydraulic pressure generated by the oil pump is measured and compared with expected values from standard maps. This feedback loop enables the system to learn the actual quality characteristics of the installed pump and adjust future RPM control decisions accordingly, eliminating the need to always operate with conservative settings designed for lowest-quality pumps.
2Stability of the object's composition
If RPM is controlled based on lowest-quality product specifications, then consistency across all vehicles is maintained, but fuel efficiency decreases for vehicles with higher-quality pumps
Solution Approach 1:
The system performs preliminary learning of the oil pump's quality characteristics during initial operation or under specific learning conditions. By measuring hydraulic pressure at various RPMs and comparing with standard maps beforehand, the system stores the actual quality profile of the installed pump. This preliminary action enables subsequent control operations to be optimized for the specific pump rather than relying on generic conservative settings.
Solution Approach 2:
The control system transitions from a static, fixed RPM control strategy to a dynamic control approach that adapts to the actual oil pump quality. The system continuously or periodically learns the pump's characteristics and adjusts RPM settings in real-time based on the identified quality level, enabling the control parameters to change dynamically rather than remaining fixed for all vehicles.
3Use of energy by moving object
If learning conditions are implemented to identify actual pump quality, then power consumption can be optimized, but system complexity increases
Solution Approach 1:
The system uses a universal learning procedure and control strategy that can identify and adapt to different quality levels of oil pumps without requiring pump-specific calibration procedures. The same learning algorithm and hydraulic pressure measurement approach work across all pump quality variations, eliminating the need for multiple specialized control systems for different pump types.
Solution Approach 2:
The control system performs self-identification of the oil pump quality characteristics through automated learning procedures. The ECU independently measures hydraulic pressure, compares it with standard maps, and determines the actual pump quality without requiring external intervention or manual calibration. This self-service capability reduces the need for complex external calibration equipment or manual setup procedures.
Data Source
AI summary
A system and method of controlling an automotive electric oil pump are provided. The method of controlling an oil pump can minimize power consumption of a vehicle and improve the fuel efficiency accordingly by learning the performance of the electric oil pump and operating the electric oil pump based on performance.