EV Power Consumer Profiling for Virtual EMF and Energy Control
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing electric vehicles face challenges in managing Electro-Magnetic Field (EMF) emissions and power consumption due to the lack of practical methods for monitoring and optimizing the operation of various electrical components, necessitating a 'virtual' sensor system to correlate consumer usage with EMF and power consumption.
Innovation Solution
A system and method utilizing a processor to calculate EMF and power consumption profiles based on in-vehicle data, allowing optimization of power consumers by selecting a second driving profile that minimizes EMF emissions and power usage through clustering and similarity metrics, without physical sensors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If physical EMF sensors are added to each vehicle to monitor electromagnetic emissions, then measurement precision of EMF levels is improved, but device complexity and manufacturing cost increase
Solution Approach 1:
The patent creates a virtual copy of the EMF sensing capability through software algorithms that calculate EMF levels based on operational data from existing vehicle sensors and component specifications. This virtual sensor model replicates the function of physical EMF sensors without requiring actual electromagnetic field detection hardware, thereby achieving measurement precision while avoiding the complexity and cost of installing multiple physical sensors throughout the vehicle.
Solution Approach 2:
The patent replaces the mechanical/physical sensor-based EMF detection system with a computational/software-based system. Instead of using physical electromagnetic field sensors to directly measure EMF emissions, the system uses processing algorithms that compute EMF levels from electrical operational data, current draw measurements, and component switching patterns, substituting a computational approach for a physical measurement approach.
2Measurement precision
If multiple physical sensors are installed to monitor both EMF and power consumption, then measurement capability is improved, but manufacturing cost and ease of manufacture deteriorate
Solution Approach 1:
The patent makes existing vehicle sensors and control units serve multiple functions. The same sensors that monitor basic vehicle parameters (current, voltage, temperature) are also utilized to calculate EMF levels and power consumption metrics through software processing. This multi-functional approach eliminates the need for dedicated EMF sensors and power consumption meters, reducing manufacturing complexity and cost while maintaining measurement capabilities.
Solution Approach 2:
The patent creates virtual measurement capabilities through software that calculates power consumption and EMF levels using data from existing vehicle sensors. Rather than installing physical power consumption meters and EMF sensors, the system computes these measurements by processing data from available sources, thereby achieving comprehensive monitoring without the manufacturing burden of additional specialized sensors.
3Reliability
If real-time monitoring of all power consumers is implemented using physical sensors, then reliability of EMF management is improved, but device complexity and power consumption increase
Solution Approach 1:
The patent implements a feedback-based virtual sensing system where software algorithms continuously process operational data from existing vehicle sensors to calculate EMF levels and power consumption in real-time. The system uses feedback from current draw measurements, component switching states, and operational parameters to dynamically adjust and refine EMF calculations, ensuring reliable EMF management without requiring complex physical sensor arrays. The feedback loop enables the virtual sensor model to adapt to changing vehicle conditions while maintaining measurement accuracy.
Data Source
AI summary
A system and a method of managing utilization of power consumers in a vehicle, by at least one processor is disclosed. The method comprises: (a) obtaining, from one or more in-vehicle data sources, a first driving profile representing utilization of power consumers in the vehicle; (b) calculating an Electro-Magnetic Field (EMF) data element, representing emission of EMF by the power consumers of the first driving profile; and (c) calculating a second driving profile based on (i) the first driving profile and (ii) the EMF data element, wherein the second driving profile represents another utilization of power consumers in the vehicle.