Server Control for Vehicle Battery Charge-Discharge Scheduling
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Solution Overview
Problem
Existing systems fail to easily and appropriately adjust the state of charges (SOCs) of batteries in parked vehicles according to the demand-and-supply relationship of an external electric power system, limiting their ability to support electric power adjustments.
Innovation Solution
A server-based system that communicates with registered vehicles equipped with chargeable-dischargeable batteries, acquires scheduled travel start times and electric power information, and sends charge or discharge commands to adjust the SOC of vehicles based on demand-and-supply relationships, ensuring batteries are prepared for next travel times while optimizing electric power usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Duration of action of stationary object
If the batteries of all vehicles are fully discharged at the start of parking to preserve battery life, then battery life is extended, but the batteries have no electric power left to be discharged later
Solution Approach 1:
The system performs preliminary charging of vehicle batteries during parking periods when electric power is abundant, so that the batteries are ready to provide discharge power when needed later. This advance preparation resolves the contradiction by ensuring both battery life preservation (through controlled charging cycles) and availability of electric power for later discharge operations.
2Adaptability or versatility
If the SOCs of the batteries are adjusted according to the demand-and-supply relationship of electric power, then electric power adjustment capability is improved, but the ability to prepare for next travel may be compromised
Solution Approach 1:
The system dynamically adjusts battery SOC targets based on multiple factors including predicted travel requirements, electric power demand-and-supply forecasts, and individual vehicle schedules. This dynamic adaptation allows the system to optimize for electric power adjustment capability while simultaneously ensuring sufficient charge levels are maintained for upcoming travels, resolving the contradiction between adaptability and reliability.
3Productivity
If a centralized server controls charge-discharge operations for multiple vehicles, then coordination efficiency is improved, but system complexity increases
Solution Approach 1:
The system segments the control architecture into a centralized server for high-level coordination and local vehicle controllers for execution. The server handles macro-level optimization across the vehicle fleet by analyzing aggregate demand-and-supply patterns, while individual vehicle controllers manage micro-level battery operations. This segmentation maintains high coordination efficiency through centralized decision-making while distributing operational complexity to simpler local components.
Data Source
AI summary
A server for a charge-discharge system includes a controller. The controller is configured to communicate with a plurality of registered vehicles each equipped with a chargeable-dischargeable battery. The controller is configured to acquire information on a scheduled start time of a next travel of each of the registered vehicles. The controller is configured to acquire electric power information. The controller is configured to determine, based on the scheduled travel start time and the electric power information, a target vehicle of which the battery is to be charged or discharged from among the registered vehicles that are at least parked. The controller is configured to send to the target vehicle either a charge command that orders the battery of the target vehicle to be charged or a discharge command that orders the battery of the target vehicle to be discharged.