Battery SOH Characterization Using Predictive Route Segments
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Solution Overview
Problem
Existing methods for determining the State of Health (SOH) of batteries in hybrid vehicles are limited by the need for controlled conditions, which are often disrupted by the operational dynamics of the drivetrain, especially during regenerative modes on varying terrain, making accurate SOH testing challenging.
Innovation Solution
The method involves using predictive terrain knowledge to identify suitable segments on a vehicle's route for SOH testing, where the battery can be charged or discharged at controlled rates, measuring internal resistance and temperature changes, and comparing these with stored profiles to determine SOH, allowing for more accurate battery health assessment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If SOH testing is performed under controlled conditions, then measurement precision is improved, but ease of operation deteriorates due to operational dynamics disruption
Solution Approach 1:
The system performs preliminary identification of suitable testing segments using predictive terrain knowledge before actual SOH testing. By pre-analyzing route data to identify segments with appropriate grade and distance characteristics, the system prepares optimal testing conditions in advance, allowing controlled SOH measurements to be taken during naturally suitable portions of the vehicle's operational route without requiring external intervention to create controlled conditions
Solution Approach 2:
The system uses the vehicle's own operational route and terrain conditions to provide the testing environment needed for SOH measurement. Instead of requiring external controlled conditions, the system leverages the vehicle's natural operation on varying terrain to self-create appropriate testing scenarios, eliminating the conflict between controlled conditions and operational dynamics
2Adaptability or versatility
If SOH testing is performed on varying terrain, then adaptability is improved, but measurement precision deteriorates due to operational dynamics
Solution Approach 1:
The route is divided into multiple segments with specific characteristics (grade, distance, terrain type). By segmenting the route and selecting only those segments that meet predetermined criteria for SOH testing, the system enables adaptability to varying terrain while maintaining measurement precision. Each segment is evaluated independently to ensure it provides suitable conditions for accurate SOH measurement
Solution Approach 2:
Different portions of the route are assigned different qualities based on their suitability for SOH testing. The system identifies specific segments with appropriate grade and distance characteristics, applying local quality assessment to determine where precise measurements can be taken. This allows the system to adapt to varying terrain overall while maintaining precision in specific localized testing segments
3Measurement precision
If route segments are analyzed for SOH testing, then measurement precision is improved, but loss of time increases due to route data processing
Solution Approach 1:
Route data processing and identification of suitable testing segments is performed as a preliminary action before the vehicle begins its journey or before SOH testing is needed. By pre-processing the route data and identifying optimal testing segments in advance, the system eliminates time delays that would occur during actual operation, allowing precise SOH measurements to be taken without real-time processing delays
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 determination of battery SOH even in operational conditions, improving the reliability of battery capacity and resistance calculations, and enhancing the management of hybrid drivetrain operations.
Implementation Method 1
a motor/generator (M/G) coupled to the engine and operable as a generator to convert the rotational power from the engine to electrical power for charging the battery
Implementation Method 2
one or more motor/generators (M/G) connected to the battery and a controller executing instructions to manage performance of the drivetrain. Each M/G may operate as a motor to receive electric power from the battery and generate rotational power
Implementation Method 3
State of charge (SOC) of a battery refers to the ratio of charge of a battery relative to a total charge capacity
Data Source
AI summary
A method for determining state of health of a battery on a vehicle comprises identifying a SOH testing segment on which the battery can be charged at a known charging rate for a time duration and determining an increase in voltage based on the charging rate, the time duration, an internal resistance of the battery, and/or a battery temperature differential over the time duration.