Translation Unit Matrix Conversion for EV Charging Adaptability
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Solution Overview
Problem
Existing systems for supplying electrical energy to vehicles lack efficiency in adapting to varying power levels and periods, particularly failing to account for drops in solar installations due to reduced solar radiation, leading to suboptimal charging profiles and increased CO2 emissions or costs.
Innovation Solution
A method and system utilizing a translation unit with communication interfaces to convert assessment matrices, allowing vehicles to determine optimal power levels and periods for energy supply, taking into account likely power drops and costs, by combining adjacent entries in temporary matrices until abort criteria are met, and translating between different communication protocols like SEMP and ISO15118-2.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the system uses a fixed power level for charging, then the charging process is simple, but it cannot adapt to drops in solar power generation due to reduced solar radiation
Solution Approach 1:
The system dynamically adjusts the charging power level based on real-time assessment of solar power availability and vehicle energy requirements. The assessment matrix is updated continuously to reflect changing conditions, allowing the charging process to adapt to drops in solar radiation while maintaining manageable system complexity through structured decision-making algorithms.
Solution Approach 2:
The system changes the power level parameter during charging based on the assessment matrix, which evaluates solar radiation conditions and adjusts the charging profile accordingly. This allows the system to respond to varying solar power generation without requiring complex hardware modifications.
2Productivity
If the system charges at maximum power levels, then charging speed is improved, but CO2 emissions and costs increase due to reliance on non-renewable energy
Solution Approach 1:
The system dynamically changes the power level parameter based on the assessment matrix, which considers the proportion of renewable energy available. When solar power is abundant, the system charges at maximum power levels to improve charging speed. When solar power is insufficient, the system reduces power levels to minimize CO2 emissions and costs, achieving an optimal balance between productivity and environmental impact.
3Measurement precision
If the system provides detailed assessment matrices for all power levels and periods, then charging optimization is improved, but data transmission complexity and protocol compatibility issues increase
Solution Approach 1:
The system provides detailed assessment information only for relevant power levels and periods rather than all possible combinations. The assessment matrix is structured to contain precise data where needed while using simplified representations elsewhere, maintaining charging optimization precision while reducing communication protocol complexity and improving compatibility between different standards like SEMP and ISO15118-2.
Data Source
AI summary
A method for operating a system for supplying a vehicle with electrical energy, wherein the system has a charging station, an energy management unit and a translation unit. The translation unit has a first communications interface for communicating with the energy management unit, and a second communications interface which can be coupled for communication with the vehicle. In the event that the vehicle is coupled with the second communications interface, the system provides a minimum power parameter representative of a minimum electrical power that is to be supplied to the vehicle. A first evaluation matrix is provided to the translation unit via the first communications interface, which includes a first evaluation parameter for each future first time period and for each first power stage of electrical power to be supplied via the system. The evaluation parameter is representative of an output associated with a supply of the respective electrical power for each first time period. Depending on the minimum power parameter and the first evaluation matrix, a second evaluation matrix is determined by the translation unit, which is representative of an estimation of the output. The second evaluation matrix is provided to the vehicle via the second communications interface.