EV Charging Device Optimizing Battery Life via Dynamic Mode Switching
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Solution Overview
Problem
Electric vehicle charging devices face challenges in optimizing the charge state of lithium ion batteries to prolong their service life, especially during parking and varying temperature conditions, while also considering energy consumption costs and network utilization factors, which affects the aging process and efficiency of energy storage.
Innovation Solution
A charging device with a circuit that can switch between fully charging and parked charging modes, utilizing a computing unit to calculate optimal charge states and power profiles based on current battery state, temperature, and network conditions, allowing for remote activation and integration with power suppliers for cost-effective and environmentally friendly energy management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If the energy store is charged to a high charge state (over 60%) during parking, then the available energy and power level are increased, but the service life of the energy store is significantly reduced due to accelerated aging at high temperatures
Solution Approach 1:
The charging device dynamically adjusts the charge state of the energy store based on real-time temperature conditions and predicted usage patterns. During parking at high temperatures, the system automatically limits the charge state to below 60% to reduce aging, while still maintaining sufficient energy availability by predicting when the vehicle will be next used and pre-charging during cooler periods.
Solution Approach 2:
The system performs preliminary charging actions during optimal conditions (cool temperatures, off-peak hours) before the energy is needed. By predicting future energy requirements and preparing the energy store in advance under favorable conditions, the system ensures both service life extension and energy availability without requiring high charge states during harmful high-temperature parking periods.
2Reliability
If the charging device optimizes for longest service life by maintaining reduced charge states during parking, then the aging process is slowed, but the power level and energy availability are reduced
Solution Approach 1:
The system implements periodic charging cycles that alternate between maintaining reduced charge states during parking (to extend service life) and charging to higher states before predicted usage periods. This periodic adjustment ensures the energy store is refreshed regularly under optimal conditions, maintaining both long-term reliability and adequate power levels when needed.
Solution Approach 2:
The charging device continuously monitors temperature, charge state, and usage patterns, using this feedback to dynamically adjust charging strategies. When the system detects that the energy store is being used or that temperatures are dropping, it increases the charge state to maintain power availability, while automatically reducing charge states during high-temperature parking to protect service life.
3Quantity of substance
If the charging device charges during peak network utilization periods to ensure energy availability, then the energy store is fully charged, but the operating costs increase and renewable energy utilization decreases
Solution Approach 1:
The charging device utilizes off-peak hours and periods of high renewable energy generation to perform charging operations in advance. By predicting energy requirements and charging during low-cost, high-renewable periods (such as nighttime or periods of high wind/solar generation), the system ensures energy availability while minimizing operating costs and maximizing renewable energy utilization.
Solution Approach 2:
The system autonomously monitors network conditions, energy prices, and renewable energy availability, automatically making charging decisions without user intervention. It independently identifies optimal charging windows based on real-time data from the power network, ensuring energy is charged when costs are lowest and renewable energy availability is highest, thereby reducing operating costs while maintaining energy sufficiency.
4Loss of energy
If the charging device delays charging to utilize off-peak renewable energy periods, then operating costs are reduced and renewable energy is maximized, but the charging duration and planning complexity increase
Solution Approach 1:
The system performs preliminary charging during off-peak renewable periods by calculating the minimum energy required and charging that amount in advance during optimal windows. This approach reduces operating costs and maximizes renewable energy use while limiting the charging duration to only what is necessary, avoiding excessive charging time.
Solution Approach 2:
The charging device dynamically adjusts charging parameters (power level, duration, timing) based on real-time network conditions and energy prices. By flexibly modifying these parameters, the system can complete necessary charging during optimal off-peak periods without requiring extended charging durations, thus reducing both operating costs and time loss simultaneously.
Data Source
AI summary
A charging device for an energy store, e.g., a lithium ion battery in an electric vehicle, may include a circuit for adjusting the charging device in a full charging mode or a parked charging mode, wherein the charging device is set up for producing a fully charged state of the energy store in full charging mode, and for producing a parked charged state of the energy store in parked charging mode, wherein the parked charging state corresponds to a reduced charge state of the energy store. Methods for operating such a charging device, and an electric vehicle having such a charging device, may also be provided.