EV Battery Management Index for Real-Time Usage Feedback
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Solution Overview
Problem
Existing electric vehicle technologies lack real-time feedback to users on battery usage intensity based on driving data, necessitating a solution for efficient battery management.
Innovation Solution
An apparatus and method for managing a battery that determines a battery managing index (BMI) using scores related to battery output maps, vehicle mileage, and charge records, providing real-time feedback to users through a processor and memory system.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If real-time battery usage feedback is implemented, then user awareness of battery intensity is improved, but system complexity increases
Solution Approach 1:
The battery management system is divided into multiple independent modules: a battery management unit that collects usage data, a score calculation unit that processes the data through multiple scoring dimensions (charge/discharge intensity, mileage, SOH), and a feedback display unit that presents results to users. This segmentation allows each module to perform its function independently, reducing overall system complexity while enabling comprehensive real-time monitoring.
Solution Approach 2:
The patent introduces an intermediary processing layer that transforms raw battery data into meaningful scores and feedback. Instead of directly presenting complex battery parameters to users, the system uses intermediate score indicators (first score, second score, third score) that mediate between the battery management system and the user interface, simplifying information presentation while maintaining data integrity.
2Measurement precision
If multiple scoring parameters are used to evaluate battery usage, then measurement precision is improved, but calculation complexity increases
Solution Approach 1:
The assessment system is segmented into three distinct scoring dimensions: charge/discharge intensity (first score), vehicle mileage and SOH (second score), and charge record patterns (third score). Each dimension is calculated independently using specific formulas and parameters, allowing for precise measurement of different battery usage aspects while keeping individual calculations manageable and modular.
3Reliability
If comprehensive battery data is collected and analyzed, then reliability of battery management is improved, but processing time increases
Solution Approach 1:
The system performs preliminary data collection and organization during normal vehicle operation, storing battery usage data, charge records, and vehicle information in advance. When BMI calculation is needed, the pre-organized data can be quickly processed through the scoring formulas, reducing real-time processing time while maintaining comprehensive data analysis for reliable battery management.
Data Source
AI summary
An apparatus for managing a battery and a method thereof includes a memory that stores computer-executable instructions, and at least one processor that accesses the memory and execute the instructions, wherein the at least one processor is configured to determine a first score based on battery usage data and a battery output map, determine a second score based on first user data on a mileage of a vehicle using the battery and a warranty time of the vehicle, and second user data on a state of health (SOH) of the battery and the warranty time, and derive a battery managing index (BMI) representing a management state of the battery based on the first score and the second score.