Mobile Power Supply Routing for Battery Benefit-Cost Balancing
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Solution Overview
Problem
Existing systems fail to optimize charge and power supply locations for mobile objects to maximize user benefits, leading to inefficiencies in energy management.
Innovation Solution
A charge power-supply management system that includes a target information acquirer, facility information acquirer, margin determinator, movement cost calculator, user benefit calculator, and plan transmitter to determine optimal charge and power supply locations based on current location, battery state, and facility demands, calculating costs and benefits for mobile objects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the mobile object moves to a different facility for power supply, then the user benefit increases, but the movement cost increases
Solution Approach 1:
The system dynamically changes the operational parameters by comparing different facility options and selecting the optimal one based on real-time conditions. The management server calculates and compares user benefits and movement costs for different facilities, then transmits instructions to move to the facility that maximizes net benefit (user benefit minus movement cost).
Solution Approach 2:
The system implements feedback by continuously monitoring power supply demands, electricity prices, and mobile object locations. The management server receives information about power supply requests from multiple facilities, calculates the optimal destination for each mobile object, and transmits control instructions back to the mobile objects to achieve optimal power supply decisions.
2Productivity
If the system optimizes power supply location dynamically, then energy efficiency improves, but the system complexity increases
Solution Approach 1:
The management server acts as an intermediary between mobile objects and power supply facilities. It centralizes the complex calculations of user benefits, movement costs, and optimal destination selection, while mobile objects simply follow the transmitted instructions. This intermediary approach manages system complexity by consolidating decision-making logic in a centralized controller.
Solution Approach 2:
The system enables mobile objects to autonomously make power supply decisions based on transmitted instructions without requiring complex local decision-making capabilities. Each mobile object receives facility information and optimization results from the management server, then independently executes the optimal action (moving to or remaining at a facility), achieving decentralized execution with centralized intelligence.
Data Source
AI summary
A charge power-supply management system 1 includes a target information acquirer 12 that acquires target information including information on the current location of a target mobile object and the state of an in-vehicle battery, a facility information acquirer 15 that extracts a facility having requested power supply as a power supply requesting facility, a movement cost calculator 16 that calculates a mobile power-supply cost borne by a target user for movement between the current location and the power supply requesting facility, a user benefit calculator 17 that calculates a mobile power-supply benefit that can be obtained by the target user in a case of the power supply to the power supply requesting facility, and a plan transmitter 18 that transmits a mobile power-supply plan to the target mobile object in a case where it is determined that the mobile power-supply benefit is greater than the mobile power-supply cost.