Vehicle Battery Pack Replacement by Usage-Based Load Balancing
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Solution Overview
Problem
The challenge lies in accurately determining the replacement configuration of electrical energy storage packs in vehicles to maintain balanced power distribution and extend vehicle performance, as existing methods rely on estimated state of health and are prone to incorrect replacements due to intrinsic parametric variations and non-uniform operating conditions.
Innovation Solution
A method that classifies vehicle usage based on driving patterns to determine the minimum required state of health, models load distribution using a multi-battery system dynamic model, and adjusts configurations to achieve balanced load sharing across packs, ensuring accurate replacement decisions and improved vehicle performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If battery pack replacement is based on estimated state of health (SOH) imbalance, then replacement decisions can be made, but the accuracy of SOH estimation is difficult to evaluate leading to unnecessary or incorrect replacements
Solution Approach 1:
The system performs preliminary classification of vehicle usage types and determination of minimum required SOH thresholds before actual replacement decisions are made. This advance preparation of reference data enables more accurate and timely replacement decisions without requiring complex real-time SOH estimation during operation.
Solution Approach 2:
The patent introduces an intermediary multi-battery system dynamic model that acts as a bridge between raw battery data and replacement decisions. This model simulates power sharing dynamics and load distribution to provide more reliable replacement criteria than direct SOH estimation alone.
2Reliability
If homogeneous multi-battery system is targeted for robust operation, then equal power sharing is achieved, but intrinsic parametric variations and non-uniform operating conditions make this impossible
Solution Approach 1:
The system dynamically adjusts replacement thresholds and evaluation criteria based on classified vehicle usage types. Different usage patterns (e.g., city driving vs. highway driving) have different minimum SOH requirements, allowing the system to adapt to varying operating conditions and parametric variations rather than enforcing a single homogeneous standard.
Solution Approach 2:
The patent implements dynamic evaluation of battery pack replacement needs based on actual power sharing dynamics and load distribution patterns observed during operation. The system continuously monitors and adapts its replacement criteria based on real-time system behavior rather than relying on static homogeneous assumptions.
3Ease of manufacture
If battery replacement is performed without considering load distribution, then replacement is simplified, but the impact on vehicle performance in terms of range and power cannot be understood
Solution Approach 1:
The multi-battery system dynamic model serves as an intermediary tool that predicts load distribution and power sharing patterns after replacement without requiring complex physical testing. This virtual simulation preserves performance information while keeping the actual replacement process simple and straightforward.
Solution Approach 2:
The system performs preliminary simulation and evaluation of replacement scenarios before actual replacement occurs. By modeling different replacement configurations and their impact on load distribution and vehicle performance in advance, the system preserves performance information without complicating the actual replacement execution.
Data Source
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AI summary
The invention relates to a method for determining an electrical energy storage pack replacement configuration of a propulsion electrical energy storage (2) of a vehicle (1) comprising several electrical energy storage packs (BP1-BP4), the method comprising: classifying (S104) a vehicle usage type using vehicle driving pattern data of the vehicle as input data; determining (S104) a minimum state of health required for usage according to the classified vehicle usage type; determining (S106) a state of health of each of the electrical energy storage packs of the vehicle; concluding (S108) a replacement of the electrical energy storage packs having state of health lower than the minimum state of health; determining (S110) a load distribution between electrical energy storage packs after reconfiguration including replacement electrical energy storage packs and maintained electrical energy storage packs; and once electrical energy storage pack replacement is performed, determining (S112) a load sharing factor indicative of a load distribution between the electrical energy storage packs, and depending on the outcome of comparing the load sharing factor to a predetermined condition, performing (S114) a reconfiguration of the electrical energy storage to more equally distribute the load across the electrical energy storage packs.