EV Charging Control Sequence for Time-Cost Tradeoffs
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Solution Overview
Problem
Current electric vehicle (EV) charging methods are inflexible and lack intelligence, as they follow a fixed charge control sequence that cannot be adjusted according to user demands, resulting in a low degree of intelligence in charge control.
Innovation Solution
A method for vehicle charge control that involves acquiring a proportional relationship between estimated charging cost and time and a target charging quantity of electricity, determining the estimated charging cost and time, and then determining an actual control sequence for performing the charge control based on these factors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a fixed charge control sequence is used, then the charging process is simple to implement, but the intelligence degree and adaptability to user demands are low
Solution Approach 1:
The charging control sequence is transformed from a fixed static pattern to a dynamic adjustable sequence. The system allows real-time modification of charging parameters including charging power, charging current, and charging voltage based on user-selected modes (fast charging, standard charging, economical charging) and battery state, making the control system adaptable while maintaining manageable complexity through predefined modes.
Solution Approach 2:
The patent implements adaptability by changing key charging parameters (charging power, current, voltage) according to different user demands and battery conditions. The control system adjusts these parameters dynamically based on selected charging modes and real-time battery state, resolving the contradiction between adaptability and system complexity.
2Ease of operation
If charging is performed without considering cost and time proportions, then the charging process is straightforward, but the ability to balance charging time and cost is poor
Solution Approach 1:
The system performs preliminary calculation of the proportional relationship between charging cost and charging time before the actual charging process. By pre-establishing this relationship and allowing users to select charging modes based on their preferences, the system enables informed decision-making about charging time and cost trade-offs without complicating the actual charging operation.
Solution Approach 2:
The control system incorporates feedback mechanisms that monitor charging progress, cost accumulation, and time elapsed in real-time. This feedback allows the system to adjust charging parameters dynamically to optimize the balance between charging time and cost while maintaining ease of operation through automated control.
3Extent of automation
If the charging control does not consider user demands, then the control system is simple, but the user experience is reduced
Solution Approach 1:
The charging control system provides self-service functionality by automatically selecting and adjusting charging parameters based on user-selected modes and real-time battery state. The system autonomously manages the charging process without requiring continuous user intervention, enhancing automation while keeping the interface simple for users.
Solution Approach 2:
The system achieves high automation through dynamic adjustment of charging parameters based on multiple inputs including user-selected modes, battery state of charge, and real-time conditions. This dynamic automation resolves the contradiction by making the system highly responsive to user demands while managing complexity through structured control logic.
Data Source
AI summary
A method for vehicle charge control includes: acquiring a proportional relationship between an estimated charging cost and an estimated charging time and a target charging quantity of electricity; determining the estimated charging cost and the estimated charging time according to the target charging quantity of electricity and the proportional relationship between the estimated charging cost and the estimated charging time; and determining an actual control sequence for performing an actual charge control on the vehicle according to the target charging quantity of electricity, the estimated charging cost and the estimated charging time, in which the actual control sequence is a sequence consisting of control signals issued to a component related to charging of the vehicle when the vehicle is charged.


