Power Battery Life Cycle Cost Estimation via Echelon Utilization
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Solution Overview
Problem
The electric automobile industry faces challenges in estimating and distributing the whole life cycle cost of power batteries across various stages, leading to high costs that are borne by consumers, and there is a lack of methods to define and evaluate the value utilization and cost apportionment of power batteries during their life cycle.
Innovation Solution
An estimation method for the whole life cycle cost of power batteries is developed, which establishes echelon utilization grades based on State of Health (SOH), constructs a battery capacity model, and creates a cost model to estimate the cost variation trend, allowing for the division of service value and cost across multiple stages.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If the production cost of power batteries is reduced through research and development of new technologies and products, then the cost borne by consumers decreases, but the device complexity and investment requirements increase
Solution Approach 1:
The patent applies parameter changes by establishing echelon utilization grades based on SOH parameters and constructing capacity models with varying parameters (γ for capacity retention rate, δ for cost ratio). This allows cost estimation without physical battery modifications, resolving the contradiction between cost reduction and complexity increase.
2Loss of energy
If the whole life cycle cost is distributed across all stages including echelon utilization, then the cost borne in the trial stage decreases, but the measurement precision and evaluation complexity increase
Solution Approach 1:
The patent segments the battery life cycle into distinct echelon utilization grades (first grade for SOH 80-100%, second grade for SOH 40-80%, third grade for SOH 0-40%). This segmentation enables precise cost allocation to each stage while maintaining measurement precision through standardized SOH thresholds and capacity models.
Solution Approach 2:
The patent performs preliminary action by pre-establishing the echelon utilization grades, capacity models, and cost models before actual cost distribution. This preliminary framework enables accurate cost estimation and allocation across stages without requiring complex real-time measurements, thus maintaining measurement precision while reducing computational complexity.
3Loss of information
If echelon utilization grades and cost models are established, then the value utilization and cost apportionment are defined, but the device complexity and calculation requirements increase
Solution Approach 1:
The patent uses parameter changes to define value utilization and cost apportionment through echelon utilization grades based on SOH parameters. The capacity model uses parameters γ (capacity retention rate) and δ (cost ratio) to calculate costs for different grades. This parameter-based approach defines value utilization clearly while avoiding complex structural modifications, thus resolving the contradiction between information completeness and device complexity.
Data Source
AI summary
Disclosed is an estimation method for a whole life cycle cost of a power battery in echelon utilization. In this method, echelon utilization grades are established for the power battery according to an SOH of the power battery; a whole battery capacity model is constructed corresponding to the echelon utilization grades; a cost model is constructed corresponding to the echelon utilization grades; and a variation trend of the whole life cycle cost of the power battery is estimated according to the echelon utilization grades for the power battery, the power battery capacity model and the cost model, and a result of estimation is outputted.