EV Charging Control for Excessive Vehicle-to-Load Discharge
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing systems fail to effectively manage the charging and discharging of electric vehicle batteries, particularly in scenarios where vehicles are used for both propulsion and non-propulsion purposes, leading to potential misuse of energy resources.
Innovation Solution
A system and method that includes a server and charger interface to monitor and control energy transfer, imposing limitations based on vehicle data to manage charging and discharging, using a processor to calculate energy usage and enforce restrictions when thresholds are exceeded.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the vehicle is allowed to supply electricity to buildings or other entities using power from the traction battery, then the vehicle can provide useful energy services, but the risk of energy misuse and unauthorized discharge increases
Solution Approach 1:
The system continuously monitors energy transfer amounts from the vehicle to receiving entities and compares them against predefined thresholds. When the transfer amount exceeds the threshold, the system automatically triggers a response by imposing charging limitations, creating a closed-loop feedback mechanism that prevents energy misuse while allowing legitimate energy services.
Solution Approach 2:
The server acts as an intermediary between the vehicle and the charging infrastructure. It receives vehicle data, processes energy transfer information, and communicates charging limitations to the charger, thereby mediating the energy transaction and enforcing policy decisions without direct vehicle-charger interaction.
2Reliability
If the system imposes charging limitations based on excessive energy transfer, then energy misuse is prevented, but the complexity of the energy management system increases
Solution Approach 1:
The complex decision-making logic for energy management is extracted from the vehicle and charger hardware and relocated to a cloud-based server. This allows the vehicle and charger to remain relatively simple devices while the server handles the sophisticated analysis of energy transfer patterns, threshold comparisons, and charging limitation decisions.
Solution Approach 2:
The system automatically monitors energy transfers, detects excessive discharging, and imposes charging limitations without requiring manual intervention. The server self-manages the entire process from data collection to enforcement, reducing operational complexity while maintaining reliable energy management.
3Measurement precision
If the charger continuously monitors and calculates energy amounts to detect misuse, then accurate detection of excessive energy transfer is achieved, but the energy and computational resources consumed by the charger increase
Solution Approach 1:
The monitoring and detection functions are segmented between the charger and the server. The charger performs only basic data collection and transmission of energy transfer information, while the computationally intensive analysis, threshold comparisons, and detection logic are executed on the server. This segmentation reduces the computational burden and energy consumption at the charger while maintaining precise detection capabilities.
Data Source
AI summary
A server includes an interface configured to communicate with a vehicle and a charger, and a processor configured to responsive to receiving, from the vehicle, vehicle data indicative of an energy transfer amount from the vehicle to one or more receiving entities above a transfer threshold, impose a limitation on the charger to charge the vehicle by sending a message to the charger.