EV Battery Power Routing for Home Energy Management
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Solution Overview
Problem
Existing techniques for managing electric power in electric vehicles do not efficiently utilize electricity, as they fail to predict user actions and optimize energy usage between vehicle batteries and external power sources.
Innovation Solution
A system comprising a controller, determining unit, and detector that assesses the electric vehicle's driving schedule to determine necessary energy, detects the charge energy, and controls the power supply route in a house, selecting between power from the power company and the vehicle's battery based on surplus energy calculations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If electric power from the car battery is used to supply the house, then the vehicle's driving range is reduced, but the house can utilize available surplus energy
Solution Approach 1:
The system performs preliminary calculation of necessary energy for the vehicle's driving schedule before making power supply decisions. The controller determines how much energy the battery needs to retain for upcoming trips, then uses only the surplus energy above this threshold to supply the house, preventing any reduction in driving range while maximizing household energy utilization
Solution Approach 2:
The system enables the car battery to serve dual purposes: maintaining its primary function of powering the vehicle while simultaneously serving the household energy needs. By automatically calculating surplus energy and routing it to the house, the battery system provides self-service functionality without requiring external management or sacrificing vehicle operation
2Productivity
If the system calculates and optimizes power supply routes based on driving schedules, then energy efficiency is improved, but system complexity increases
Solution Approach 1:
The controller performs multiple functions using a single integrated system: it manages vehicle battery charging, calculates driving schedule requirements, determines surplus energy, and controls power supply routing to the house. This multi-functionality approach improves energy efficiency while avoiding the need for separate complex systems for each function
Solution Approach 2:
The system continuously monitors the battery's charge energy and compares it against the calculated necessary energy for upcoming trips. Based on this feedback, the controller dynamically adjusts the power supply route to the house, ensuring optimal energy efficiency while maintaining simple, rule-based control logic that doesn't require complex algorithms
Data Source
AI summary
An information processing system includes a controller that controls the supply route of electric power in a house, a determining unit that determines, based on the driving schedule of an electric vehicle, necessary energy with which the car battery of the electric vehicle should be charged, and a detector that detects first charge energy with which the car battery is charged. The controller selects, based on the necessary energy and the first charge energy, which one of electric power supplied from a power company and electric power supplied from the car battery is to be consumed in the house.