Vehicle Energy Storage Power Modeling for Trajectory Planning
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Solution Overview
Problem
Current battery management systems in battery-electric vehicles only provide two power limits, short-term and long-term, which limits the flexibility in planning vehicle trajectories and charging processes, leading to potential underutilization of energy storage capacity and oversized components.
Innovation Solution
A dynamic model for determining future or predicted power limits based on multiple predetermined power limits, allowing for optimal utilization of energy storage capabilities by calculating parameters that adjust according to changing conditions such as aging and thermal stress.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If only two power limits (short-term and long-term) are provided by the battery management system, then the system complexity is reduced and ease of operation is improved, but the adaptability to different driving scenarios deteriorates and productivity is reduced due to underutilization of energy storage capacity
Solution Approach 1:
The patent implements a dynamic model that continuously adapts power limits based on changing battery conditions such as state of charge, temperature, and aging. Instead of providing fixed power limits, the system calculates time-dependent power limits that evolve according to battery degradation and thermal conditions, enabling the battery management system to adapt to different driving scenarios while maintaining operational simplicity through automated model-based calculations
Solution Approach 2:
The patent changes the parameters used to define power limits from static values to dynamic parameters that depend on battery state of charge, temperature, and aging level. The model uses these varying parameters to calculate optimal power limits for different operating conditions, improving adaptability without increasing system complexity since the parameter changes are computed automatically based on sensor inputs
2Productivity
If fixed power limits are used for trajectory planning, then the planning process is simplified and computing time is reduced, but the precision of energy storage utilization deteriorates leading to oversized components
Solution Approach 1:
The patent performs preliminary calculations to determine a dynamic model of the battery's power capabilities before trajectory planning occurs. By pre-characterizing the battery's aging and thermal behavior through the model, the system has accurate power limit predictions ready when needed for trajectory planning, maintaining planning efficiency while improving precision through model-based forecasts of available power under various future conditions
Solution Approach 2:
The patent implements feedback mechanisms where the dynamic model continuously monitors battery state and adjusts power limits based on actual performance and degradation patterns. This feedback loop refines the precision of energy storage utilization predictions over time, allowing accurate trajectory planning that matches actual battery capabilities without requiring oversized components
Data Source
AI summary
A method of determining a model (312) for an energy storage (120) of a vehicle (100) comprising: providing (300) a plurality of different, pre-determined power limits (P1, P2); determining (310), based on the power limits (P1, P2), a model (312), which outputs an output value (yn) based on an input value (u), wherein the input value (u) comprises a power to be handled by the energy storage and/or power to be handled by the vehicle which is planned for a time point; wherein the output value (yn) comprises a power limit at this time point, indicating a maximum amount of power to be handled by the energy storage for a given period of time; and providing the model (312). The invention also relates to a method for determining a current power limit of the energy storage using a model.