EV Battery Telematics Monitoring for Fleet Replacement Decisions
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Solution Overview
Problem
Current technologies lack effective methods for monitoring electric vehicle (EV) batteries based on driving behavior, weather, and traffic conditions, leading to inefficient and cumbersome battery management.
Innovation Solution
A system and method for collecting telematics data from EVs, analyzing it to determine battery status, and mapping this data to a digital record, allowing for remote monitoring and decision-making regarding battery usage, replacement, and recycling.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional battery management techniques are used, then battery monitoring is simple, but monitoring accuracy and reliability are insufficient
Solution Approach 1:
The system segments battery monitoring into multiple independent measurement components: voltage monitoring, current monitoring, temperature monitoring, and state of charge calculation. Each component measures a specific parameter and feeds data to a central management system, allowing accurate comprehensive monitoring while keeping individual measurement devices simple and modular.
Solution Approach 2:
The patent introduces a battery management controller as an intermediary that receives data from multiple sensors (voltage sensors, current sensors, temperature sensors) and processes this information to determine overall battery status. This intermediary consolidates information from various sources, improving monitoring accuracy without requiring each sensor to be overly complex.
2Reliability
If detailed telematics data collection is implemented, then battery management decisions are more accurate, but data processing complexity increases
Solution Approach 1:
The system extracts only the most relevant telematics data for battery management decisions, such as driving patterns, environmental conditions, and charging behaviors. By filtering and selecting specific data elements rather than processing all available telematics data, the system improves decision reliability while minimizing data processing complexity.
Solution Approach 2:
The battery management system performs preliminary analysis and categorization of telematics data as it is collected, organizing information into meaningful patterns before detailed processing. This preliminary structuring of data simplifies subsequent analysis and decision-making processes, reducing overall system complexity while maintaining reliable insights.
3Loss of time
If real-time battery monitoring is implemented, then battery status information is more timely, but energy consumption increases
Solution Approach 1:
The system implements periodic monitoring at optimized intervals rather than continuous real-time monitoring. Sensors take measurements at predetermined time intervals or based on state changes, providing timely battery status information while allowing the system to enter low-power states between measurements, thus reducing overall energy consumption.
Solution Approach 2:
The system applies partial monitoring intensity based on battery state and operational context. During critical phases such as charging or when abnormal conditions are detected, monitoring intensity increases. During normal stable operation, monitoring frequency is reduced, providing sufficient timeliness information while minimizing energy consumption during low-risk periods.
Data Source
AI summary
Computer-implemented methods of monitoring one or more batteries of an electric vehicle (EV) include (i) receiving, from an electronic device associated with the EV, telematics data generated by one or more sensors associated with the electronic device that is indicative of operation of the EV; (ii) determining a battery status of the one or more batteries based upon the telematics data; and (iii) mapping the battery status of the one more batteries to a digital record corresponding to the EV in a database.