Office EV Battery Retention for Surplus Power Utilization
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing systems fail to efficiently manage and utilize surplus power generated during non-work days in offices, such as factories, and effectively manage the battery capacity of vehicles used by employees for commuting, leading to inefficiencies in power utilization and energy savings.
Innovation Solution
A vehicle management system that includes a power generation apparatus, power control apparatus, integrated management apparatus, and vehicle management apparatus, which predict surplus power and battery capacity, select vehicles to retain or charge, adjust charging/discharging, and facilitate ride-sharing to optimize power utilization and battery management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If vehicles are charged during non-work days when surplus power is generated, then energy savings are improved, but vehicle availability for employees may be compromised
Solution Approach 1:
The system performs preliminary actions by predicting surplus power generation and battery capacities in advance before non-work days begin. This allows the integrated management apparatus to pre-arrange charging schedules and vehicle assignments, ensuring that charging operations are coordinated with predicted power availability while maintaining vehicle availability predictions for employee use.
Solution Approach 2:
The system implements feedback mechanisms where the integrated management apparatus receives information about actual surplus power generation and battery states, then adjusts charging control and vehicle assignments accordingly. This feedback loop ensures that charging operations are optimized based on real-time conditions while maintaining reliable vehicle availability.
2Use of energy by moving object
If multiple vehicles are retained at the office for battery charging, then power utilization is improved, but vehicle availability for employees decreases
Solution Approach 1:
The system dynamically adjusts vehicle assignments and charging schedules based on predicted surplus power and employee needs. The integrated management apparatus continuously optimizes which vehicles are retained for charging versus made available for employee use, creating a dynamic balance between power utilization and vehicle availability rather than fixed assignments.
Solution Approach 2:
The system changes operational parameters such as charging timing, vehicle selection, and assignment schedules based on varying conditions of surplus power generation and employee requirements. By adjusting these parameters dynamically, the system optimizes both power utilization and vehicle availability according to actual conditions.
3Productivity
If the system predicts surplus power and battery capacity to optimize charging, then energy efficiency is improved, but system complexity increases
Solution Approach 1:
The integrated management apparatus serves multiple functions: it predicts surplus power generation, predicts battery capacities, determines optimal charging schedules, manages vehicle assignments, and coordinates with both power generation and vehicle systems. By consolidating these diverse functions into a single multi-functional apparatus, the system achieves high energy efficiency without proportionally increasing overall system complexity.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system efficiently operates vehicle batteries and utilizes surplus power generated during non-work days, enhancing power utilization and energy savings by optimizing vehicle usage and battery charging/discharging, while promoting ride-sharing among employees.
Implementation Method 1
a battery, and a vehicle including the battery
Data Source
AI summary
Provided is a vehicle management system configured to manage a plurality of vehicles used at an office. Each of the vehicles includes a battery. The vehicle management system includes: a first prediction control unit configured to cause a prediction for an amount of surplus power generated at the office on a non-work day of the office; a second prediction control unit configured to cause a prediction for a power capacity that can be accumulated by each of the plurality of vehicles at the office on the non-work day; and a selection control unit configured to cause a to-be-retained vehicle to be retained at the office on the non-work day to be selected from among the plurality of vehicles on the basis of the amount of surplus power generated at the office on the non-work day and the power capacity.