Vehicle Air Filter Load Estimation During Battery Charging
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Solution Overview
Problem
Current methods for calculating filter load estimation in vehicles, particularly electrical or hybrid vehicles, are inadequate for improving air cleaning efficiency, especially in high air pollution areas where particulate matter and NOx emissions are significant, and existing solutions do not effectively account for varying environmental conditions and vehicle operations.
Innovation Solution
A method and system that calculate filter load estimation by using a heat radiator and a filter in an airstream, with a fan providing airflow, incorporating charging status data, exterior air temperature, and fan speed to determine the filter load, which can be further adjusted based on cooling fluid temperature and vehicle operations, allowing for real-time monitoring and maintenance alerts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If a filter is installed in the airstream of a heat radiator to clean environmental air, then air quality is improved, but the filter becomes loaded with particulate matter requiring replacement
Solution Approach 1:
The system continuously monitors filter load estimation by measuring charging power, exterior temperature, and battery charging status, then uses this feedback to calculate real-time filter load and determine when filter replacement is needed, transforming a static maintenance schedule into a dynamic condition-based system
Solution Approach 2:
The system uses the vehicle's existing charging system and sensor data (charging power, temperature, fan speed) to self-monitor filter load without requiring additional dedicated measurement equipment, making the filter assessment part of the vehicle's normal operational self-diagnosis
2Productivity
If filter load estimation is calculated using only vehicle speed and distance, then calculation is simple, but accuracy is insufficient under varying environmental conditions
Solution Approach 1:
The system dynamically adjusts filter load estimation by incorporating multiple varying parameters including charging power, exterior temperature, fan speed, and battery charging status, allowing the calculation to adapt to different environmental and operational conditions rather than using fixed parameters
Solution Approach 2:
The filter load estimation system leverages data from the vehicle's existing charging and climate control systems, making the calculation applicable across multiple operating scenarios (charging, cooling, heating, idle) using a unified multi-parameter approach rather than separate calculations for each condition
3Loss of energy
If the vehicle is stationary with the engine off, then energy consumption is reduced, but the filter cannot be cooled and particulate matter accumulation continues
Solution Approach 1:
The system uses the battery charging process itself to generate the airflow needed for filter cooling, eliminating the need for a separate engine-driven cooling system. The charging fan, already operating to cool the battery, simultaneously cools the filter through the radiiator airflow path
Solution Approach 2:
The system combines the battery cooling function and filter cooling function into a single integrated airflow path through the heat radiator, so that one fan operation accomplishes both cooling tasks simultaneously rather than requiring separate systems
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
This approach enables accurate and efficient filter load estimation and air cleaning, reducing particulate matter emissions, and provides a cost-effective solution for maintaining air quality in vehicles, even when the vehicle is not moving, by utilizing existing data from the vehicle's memory and sensors.
Implementation Method 1
a heat radiator and a receptacle for receiving filter, both the radiator and the filter when placed in the receptacle being in an airstream when air is flowing. The heat radiator is for cooling coolant fluid, the coolant fluid for transporting heat from a battery to the heat radiator
Implementation Method 2
providing, with a fan (e.g., an electric fan), air flow through the heat radiator and the filter
Implementation Method 3
The filter may be a particle filter and the filter load estimation may be a filter dust load estimation
Data Source
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AI summary
A method for calculating a filter load estimation in an electrical or hybrid vehicle and system for the same. The method comprising: obtaining, from a computer memory of the vehicle: charging status data representing a charging condition of a battery; charging power data representing a charging power being used for charging the battery. The method comprises obtaining an exterior air temperature; determining that the charging condition is that the battery is being charged; providing, with a fan, air flow through a heat radiator and a filter, wherein the filter is positioned in stream with the radiator; the method - further comprising obtaining a battery charging parameter and calculating the filter load estimation based on the exterior temperature, the charging power and the battery charging parameter.