Vehicle Battery Pack Replacement by Usage-Based Load Sharing
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Solution Overview
Problem
The challenge lies in accurately determining the replacement configuration of electrical energy storage packs in vehicles, as existing methods struggle with estimating state of health imbalances and ensuring balanced load distribution, leading to inefficient and potentially incorrect replacements that affect vehicle performance.
Innovation Solution
A method that classifies vehicle usage based on driving patterns to determine the minimum state of health required, uses a multi-battery system dynamic model to estimate load distribution after replacement, and adjusts configurations to achieve balanced load sharing across packs, providing an output signal for reconfiguration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If battery pack replacement is based on SOH imbalance evaluation, then replacement decisions can be made, but the accuracy of SOH estimation is difficult to ensure leading to incorrect replacements
Solution Approach 1:
The patent introduces a multi-battery system dynamic model as an intermediary between SOH estimation and replacement decisions. This model simulates load distribution and power sharing behavior to evaluate whether replacement decisions will achieve desired system performance, thereby mediating the uncertainty in SOH-based decisions
Solution Approach 2:
The patent performs preliminary simulation of load distribution and power sharing behavior before actual replacement occurs. By evaluating multiple potential replacement scenarios using the dynamic model, the system identifies optimal replacement configurations in advance, avoiding incorrect replacements
2Duration of action of stationary object
If heterogeneous multi-battery system is created by replacing broken battery with new one, then system continuity is maintained, but parametric variations and ageing dispersion cause load distribution imbalance
Solution Approach 1:
The patent employs a dynamic model that captures the time-varying power sharing and load distribution behavior in heterogeneous multi-battery systems. The model accounts for ageing dispersion and parametric variations by simulating how different battery packs dynamically share loads under various operating conditions
Solution Approach 2:
The patent analyzes how parametric variations (internal resistance, capacity, OCV) and ageing dispersion affect load distribution. By evaluating multiple scenarios with different parameter combinations, the system determines replacement strategies that maintain acceptable load balance despite heterogeneity
3Device complexity
If replacement configuration is determined without considering vehicle usage patterns, then replacement process is simplified, but vehicle performance impact cannot be accurately assessed
Solution Approach 1:
The patent applies different evaluation criteria and model parameters based on specific vehicle usage patterns (e.g., urban vs. highway, delivery vs. passenger). The dynamic model is configured with usage-specific operating conditions to accurately assess performance impact for each application scenario
Data Source
AI summary
A method for determining an electrical energy storage pack replacement configuration of a propulsion electrical energy storage of a vehicle, the method includes: classifying a vehicle usage type using vehicle driving pattern data of the vehicle as input data; determining a minimum state of health required for usage according to the classified vehicle usage type; determining a state of health of each of the electrical energy storage packs of the vehicle; concluding a replacement of the electrical energy storage packs having state of health lower than the minimum state of health; determining 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 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 a reconfiguration of the electrical energy.