EV Component Current Estimation Using Magnetic Flux Sensing
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Solution Overview
Problem
Existing systems fail to accurately calculate and optimize the electromagnetic energy consumption of vehicle components, which can be affected by aging and wear, leading to inefficiencies and potential maintenance issues.
Innovation Solution
A system and method using magnetic flux sensors to measure electromagnetic emissions from vehicle components, identify magnetic flux maxima, and calculate current consumption, allowing for optimization of energy use and detection of maintenance needs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If magnetic flux sensors are used to measure electromagnetic emissions from vehicle components, then measurement precision of current consumption is improved, but device complexity increases
Solution Approach 1:
The magnetic flux sensor system is designed to serve multiple functions: it measures electromagnetic emissions from various vehicle components, identifies magnetic flux maxima across different frequencies, calculates current consumption, and detects maintenance needs. This multi-functional approach allows a single sensor system to provide comprehensive monitoring of electrical components throughout the vehicle, improving measurement precision without proportionally increasing device complexity
Solution Approach 2:
The system uses magnetic flux as an intermediary measurement parameter to indirectly determine current consumption of electrical components. Instead of directly measuring current in each component, the magnetic flux sensor detects electromagnetic emissions, and the controller calculates current consumption from these measurements. This intermediary approach simplifies the measurement system while maintaining accuracy
2Measurement precision
If multiple magnetic flux sensors are deployed at various locations in the vehicle, then measurement precision and component identification are improved, but device complexity and cost increase
Solution Approach 1:
The vehicle is divided into multiple monitoring zones with sensors positioned at specific locations (front, center, rear) to capture electromagnetic emissions from different component groups. Each sensor monitors its local zone and identifies magnetic flux maxima corresponding to nearby components. This segmented approach improves component identification accuracy by localizing measurements while managing system complexity through distributed, independent sensor units
Solution Approach 2:
The system adds spatial dimensionality to electromagnetic measurements by deploying sensors at multiple locations throughout the vehicle volume. This three-dimensional sensor arrangement enables the system to distinguish between components emitting similar frequencies by detecting the spatial origin of each magnetic flux maximum, thereby improving component identification accuracy without requiring each sensor to analyze the entire vehicle's electromagnetic spectrum
3Reliability
If real-time monitoring of magnetic flux patterns is implemented, then energy optimization and maintenance detection are improved, but loss of energy for data processing increases
Solution Approach 1:
The controller continuously monitors magnetic flux patterns and identifies magnetic flux maxima in advance, building a baseline profile of normal electromagnetic emissions from each component. By detecting deviations from this pre-established pattern, the system can identify maintenance needs and optimization opportunities before they manifest as failures or significant energy losses, improving reliability while minimizing the need for extensive real-time data processing
Solution Approach 2:
The system implements feedback loops where magnetic flux measurements are continuously compared against established baselines, and operational parameters are adjusted based on detected deviations. When magnetic flux patterns indicate suboptimal component performance or maintenance needs, the controller provides feedback to optimize energy consumption or trigger maintenance alerts. This feedback mechanism improves reliability through continuous monitoring while managing energy consumption by processing only significant deviations rather than all raw data
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables precise calculation of current consumption for optimizing energy use and identifying maintenance requirements, improving vehicle efficiency and reliability.
Implementation Method 1
receiving from at least one magnetic flux sensor located at a known location in the vehicle, a magnetic flux pattern at various frequencies, indicative of the magnetic field at the location
Data Source
AI summary
A system and a method of calculating the current consumption of components in a vehicle are disclosed. The system may include a controller and a memory stored thereon instructions for executing the method. The method comprising: receiving from at least one magnetic flux sensor located at a known location in the vehicle, a magnetic flux pattern at various frequencies, indicative of the magnetic field at the location; identifying at least one first magnetic flux maximum at a first frequency corresponding to a first component of the vehicle; and calculating a first current consumption of the first component based on the at least one first magnetic flux maximum.