Vehicle Battery Power Exchange Control for Grid Support Limits
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Solution Overview
Problem
Existing systems lack efficient methods to manage and optimize the charging and discharging of secondary batteries in vehicles to support grid stability and user incentives, particularly in managing power transmission and reception between vehicles and the power grid.
Innovation Solution
A control apparatus and method that utilizes a processing unit to calculate remaining usable battery capacity and prioritize power transmission based on priority settings, ensuring that vehicle batteries are used efficiently to support grid stability while maximizing user incentives.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If power transmission and reception between vehicles and grid is increased to optimize energy distribution, then energy management efficiency is improved, but battery degradation accelerates
Solution Approach 1:
The control apparatus dynamically adjusts charging and discharging rates based on real-time battery state assessments (SOC, SOH, temperature) and vehicle usage patterns. The system transitions between different power transmission modes (fast charging, slow charging, discharging to grid) depending on current conditions, optimizing the balance between energy distribution efficiency and battery protection
Solution Approach 2:
The system performs preliminary assessment of battery state and vehicle travel history before authorizing power transmission. It calculates remaining usable energy and determines appropriate charging/discharging limits in advance, preventing operations that would cause battery degradation while ensuring energy management objectives are met
2Speed
If charging and discharging operations are intensified to meet energy demand, then energy distribution speed is improved, but battery health deteriorates
Solution Approach 1:
The system dynamically modulates charging speed based on real-time battery conditions. When battery health is good and conditions permit, fast charging is enabled to meet energy demand. When temperature rises or SOC approaches critical levels, the system automatically reduces charging rate to protect battery health, creating a dynamic balance between speed and health preservation
Solution Approach 2:
The control apparatus changes operational parameters (charging current, voltage, temperature thresholds) based on battery state. It adjusts these parameters in real-time to optimize charging speed while maintaining battery health within safe operating boundaries, preventing degradation from excessive or improper charging conditions
3Ease of operation
If power flow regulation is simplified to improve system operation, then ease of operation is improved, but energy distribution efficiency decreases
Solution Approach 1:
The control apparatus autonomously manages power flow regulation without requiring complex user intervention. It self-adjusts charging/discharging parameters, monitors battery state, and makes real-time decisions based on embedded algorithms that consider multiple factors (SOC, SOH, temperature, grid conditions), providing efficient energy distribution while maintaining operational simplicity for users
Data Source
AI summary
A control apparatus configured to: store a guaranteed value of a parameter indicating usage of a power storage system including a battery included in a mobile object at a predetermined time point in the future; calculate a value of the parameter due to travelling that is a value of the parameter at the predetermined time point due to travelling of the mobile object; calculate, based on difference values obtained by subtracting the value of the parameter due to travelling from the guaranteed values, a usable remaining usable amount of the battery for operations other than the travelling of the mobile object until the predetermined time point; and control, based on the remaining usable amount, to conduct power transmission and reception between outside of the mobile object and the battery.


