Battery Management for Accurate SOCE Estimation Using UBE
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Solution Overview
Problem
Conventional battery management systems struggle to accurately estimate the state of certified energy (SOCE) of vehicle batteries, which is required by international standards like GTR22, due to their reliance on state of health capacity (SOHC) and state of health resistance (SOHR), making it difficult to meet the error condition of less than 5% and potentially leading to software recalls.
Innovation Solution
A battery management apparatus and method that estimates SOCE by determining battery state variables, calculating degradation rates using new parameters, measuring usable battery energy (UBE) based on a standard test pattern, and comparing it with a reference value, incorporating multiple battery cells and considering energy efficiency of the vehicle's power system.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional battery management systems rely on state of health capacity (SOHC) and state of health resistance (SOHR) for estimation, then the system structure remains simple, but the estimation accuracy of state of certified energy (SOCE) deteriorates and cannot meet the error condition of less than 5%
Solution Approach 1:
The patent introduces new energy degradation parameters (first and second energy degradation parameters) that specifically characterize energy loss mechanisms, replacing or supplementing conventional SOHC and SOHR parameters. This parameter transformation enables accurate SOCE estimation by directly modeling energy degradation rather than inferring it from capacity and resistance changes.
Solution Approach 2:
The patent segments the energy degradation process into distinct components by introducing separate energy degradation parameters for different degradation mechanisms. This segmentation allows the system to track and compensate for various energy loss sources independently, improving overall estimation accuracy without requiring a completely complex new system architecture.
2Reliability
If the battery management system uses multiple battery cells with individual SOCs, SOHCs, and SOHRs, then the estimation comprehensiveness improves, but the calculation complexity and data processing burden increase
Solution Approach 1:
The patent merges the individual cell data (multiple SOCs, SOHCs, and SOHRs) into aggregate battery pack-level parameters. By combining individual cell measurements into overall pack state variables and using energy degradation parameters that represent the entire pack's energy characteristics, the system maintains comprehensive monitoring while reducing computational complexity through data aggregation.
3Reliability
If conventional methods are used for UBE measurement, then the measurement process remains simple, but the ability to meet international standards like GTR22 and avoid software recalls deteriorates
Solution Approach 1:
The patent implements a feedback mechanism where the measured usable battery energy (UBE) based on standard test patterns is compared against expected values, and the energy degradation parameters are continuously updated accordingly. This feedback loop ensures the system adapts to actual battery behavior and maintains compliance with international standards like GTR22 by continuously validating measurements against regulatory requirements.
Data Source
AI summary
A battery management apparatus includes a memory and a processor operatively connected to the memory. The processor determines an operating range of the battery pack based on battery state variables; calculates degradation rate values of the battery state variables based on energy degradation parameters; measures a usable battery energy (UBE) to be supplied by the battery pack based on a standard test pattern; and estimates a state of certified energy (SOCE) of the battery pack by comparing a measured UBE value with a reference UBE value.