Vehicle Battery Charging Priority Scheduler
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Solution Overview
Problem
Existing collective charging stations face inefficiencies in charging electric vehicle batteries, as they lack a systematic approach to prioritize and distribute available energy effectively among multiple vehicles, failing to meet customer demands for timely and efficient charging.
Innovation Solution
A method and device that calculate a charging priority value for each vehicle battery based on the charge needed, vehicle type, function, connection time, and contract priority, using a two-phase charging approach with linear or adaptable curves, and a scheduler to manage charging stations, ensuring efficient energy distribution and user-defined charging goals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If multiple vehicle accumulators are charged simultaneously at a collective charging station, then the charging capacity and energy distribution efficiency are improved, but the complexity of managing and prioritizing charging among multiple vehicles increases
Solution Approach 1:
The charging process is segmented into multiple priority levels (first priority, second priority, third priority charging accumulators). This segmentation allows the charging station to manage multiple vehicles systematically by dividing them into distinct groups based on their charging urgency and requirements, thereby reducing management complexity while maintaining high charging capacity.
Solution Approach 2:
The system performs preliminary assessment and classification of vehicle accumulators before charging begins. By evaluating state of charge, battery capacity, and charging requirements in advance, the system pre-determines charging priorities and allocates energy resources accordingly, simplifying real-time management while maximizing productivity.
2Productivity
If a systematic priority-based charging approach is implemented, then energy distribution efficiency is improved, but the complexity of calculating and managing charging priorities increases
Solution Approach 1:
The system uses measurable parameters such as state of charge, battery capacity, and time-based criteria to objectively determine charging priorities. By transforming complex management decisions into straightforward parameter comparisons, the system achieves efficient energy distribution without requiring complex calculation algorithms or management overhead.
3Reliability
If charging priority is based on state of charge and battery capacity, then charging fairness and user satisfaction are improved, but the computational requirements and system complexity increase
Solution Approach 1:
The system translates fairness requirements into simple parameter-based rules: accumulators with lower state of charge receive higher priority, and battery capacity is used as a weighting factor. This approach ensures charging fairness through transparent, objective criteria while avoiding complex computational algorithms or subjective decision-making processes.
Data Source
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AI summary
The method involves charging connected vehicle batteries (S1) from an initial charge state based on a calculated charge priority value until the charge state of the vehicle battery reaches a selectable charge state, where the calculated charge priority values of the vehicle batteries connected to a collection charging station are utilized for determining which battery is charged within a charging interval. The charge priority value is calculated as a function of the missing charge quantity to reach the final charge state and a deviation of the instantaneous charge state of the battery. An independent claim is also included for a collection charging station.