EV Charging Information Processing System
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Solution Overview
Problem
Electric vehicle operators lack information on factors affecting charging duration and cost, which can impact their charging decisions and lead to increased warranty work due to unidentified charging issues.
Innovation Solution
A system integrated into electric vehicles that monitors charging function components, determines affecting factors, processes this data, and displays the results on a vehicle-mounted display device, providing users with charge-related impact information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If charging information is not provided to operators, then the system remains simple, but operators cannot make informed charging decisions and warranty work increases
Solution Approach 1:
The system segments charging information into distinct factors (charging rate, ambient temperature, battery temperature, state of charge) and processes each separately through monitoring components, allowing comprehensive information provision while maintaining manageable system complexity through modular organization
Solution Approach 2:
A processor acts as an intermediary between the monitoring components and the display device, receiving raw charging data, determining factors and their impacts, and presenting processed information to operators. This intermediary layer manages information flow and prevents system overload
2Reliability
If comprehensive monitoring of charging components is implemented, then charging issues can be identified earlier, but the system complexity and cost increase
Solution Approach 1:
The monitoring system uses a multi-functional processor that handles various charging parameters (charging rate, temperatures, state of charge) through a single integrated component rather than separate dedicated devices for each parameter, reducing overall system complexity while maintaining comprehensive monitoring capability
Solution Approach 2:
The system automatically monitors charging components and determines factors affecting charging function without requiring manual intervention or external diagnostic tools, enabling self-diagnosis and early issue identification while simplifying the user interface
Data Source
AI summary
A system includes a vehicle network integrated in an electric vehicle and a display device disposed in the electric vehicle. The display device is communicatively coupled to the vehicle network. The system also includes a computer processor communicatively coupled to the vehicle network and logic executable by the computer processor. The logic is configured to implement a method. The method includes monitoring, over the vehicle network, components relating to a charging function of the electric vehicle and determining from data resulting from the monitoring factors affecting the charging function. The method also includes processing the data to determine an impact of the factors and displaying results of the processing on the display device.


