Modular Charging Apparatus Current Distribution Optimization
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Solution Overview
Problem
Charging apparatuses with multiple energy supply modules connected in parallel face efficiency fluctuations due to changing charging currents and voltages, making it challenging to maintain high overall efficiency during energy storage element charging.
Innovation Solution
A method that optimizes the distribution of charging current among energy supply modules by determining the most efficient distribution for various operating points, using techniques like gradient methods and decision tree classifiers to select the optimal current distribution based on predefined charging currents and voltages, ensuring maximum overall efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Power
If multiple energy supply modules are connected in parallel to provide high charging current, then charging power is improved, but overall efficiency deteriorates due to current distribution challenges
Solution Approach 1:
The patent dynamically changes the operating parameters (current distribution ratios) of parallel energy supply modules based on real-time efficiency calculations. For each module, the system determines an optimal current distribution that maximizes overall efficiency while maintaining the required total charging power, thereby resolving the contradiction between high power and high efficiency.
Solution Approach 2:
The system implements dynamic current distribution adjustment by continuously monitoring operating conditions and recalculating optimal current splits among parallel modules. This dynamic adaptation allows the charging apparatus to maintain maximum efficiency across varying power levels, transforming a static efficiency problem into a controllable dynamic optimization process.
2Loss of energy
If real-time optimization of current distribution is performed during charging, then efficiency is improved, but computing effort and complexity increase
Solution Approach 1:
The patent pre-calculates and stores efficiency characteristics and optimal current distribution strategies for various operating conditions before actual charging begins. During charging, the system simply retrieves and applies the pre-determined optimal distribution based on current operating parameters, avoiding complex real-time calculations while maintaining high efficiency.
Solution Approach 2:
The system creates simplified models or lookup tables representing the complex efficiency relationships between current distribution and overall performance. These copied representations allow rapid determination of optimal current splits without performing full optimization calculations during charging, reducing computational complexity while preserving efficiency benefits.
Data Source
AI summary
A method for charging an energy storage element of a vehicle using a charging apparatus which provides a charging current (IL) and a charging voltage (U) at an operating point. The charging apparatus has a plurality of energy supply modules connected in parallel, having the following method steps: in an optimization step, a distribution of the charging current (IL) to the energy supply modules connected in parallel, in the case of which the charging apparatus has a maximum overall efficiency, is respectively determined for a plurality of predefined operating points; in a charging step which follows the optimization step, a distribution of the charging current (IL) to the individual energy supply modules of the charging apparatus, in the case of which the charging apparatus has a maximum overall efficiency, is selected on the basis of a predefined charging current (IL) and a predefined charging voltage (U).