Predictive EV Battery Charging for Low State-of-Charge Parking
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Solution Overview
Problem
Existing charging control methods for electric vehicles do not effectively manage the state of charge of lithium-ion battery cells to extend their service life, as they rely on determining the journey destination during the journey, which is too late to maintain a low state of charge, leading to reduced battery capacity and vehicle range.
Innovation Solution
A predictive charging control method that forecasts a future time profile of non-energy requirements to keep the state of charge below a limit value during parking phases, using a backend apparatus to control the charging device, ensuring gentle operation of the energy store by adjusting the charging process based on predicted usage patterns and energy requirements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the state of charge is reduced to extend battery service life, then battery wear is minimized, but the available range of the motor vehicle is reduced
Solution Approach 1:
The system performs preliminary actions by predicting the vehicle's destination and route before the journey begins. Based on these predictions, the charging device proactively adjusts the state of charge during parking phases, keeping it low when the vehicle will not be used and increasing it before the predicted departure time. This ensures the battery is gently operated during storage while still providing sufficient range when needed.
Solution Approach 2:
The system continuously monitors actual journey data, destination information, and usage patterns, then uses this feedback to refine predictions and adjust charging strategies. The backend apparatus receives data from the vehicle about actual routes taken and compares them with predicted routes, using this information to improve future predictions and optimize state of charge management dynamically.
2Loss of information
If the journey destination is determined during the journey, then routing information is obtained, but it is too late to adapt the state of charge by means of a charging device
Solution Approach 1:
Instead of waiting for journey information to become available during travel, the system performs preliminary actions by predicting the vehicle's destination and intended route before the journey begins. The charging device uses these predictions to proactively manage state of charge during parking phases, adjusting charging levels in advance rather than reacting after the journey has started.
Solution Approach 2:
The system prepares in advance by maintaining a buffer of predicted routing information and destination data before the journey begins. This allows the charging device to cushion against the time delay by having prediction algorithms ready to provide destination information upfront, enabling state of charge adjustments to be made during parking phases rather than after departure.
3Reliability
If the state of charge is kept low to minimize battery wear, then battery capacity is preserved, but the vehicle cannot meet energy requirements for upcoming journeys
Solution Approach 1:
The system dynamically adjusts the state of charge based on predicted journey requirements rather than maintaining a fixed charge level. The backend apparatus continuously updates predictions about destination and route, then dynamically modifies charging strategies to keep the state of charge low during parking phases when journeys are not anticipated, while allowing it to increase when journeys are predicted soon.
Solution Approach 2:
The system uses feedback from actual journey data and predicted routing information to continuously optimize the balance between battery preservation and energy availability. When predictions indicate an upcoming journey, the system adjusts state of charge upward; when no journey is predicted, it maintains low charge levels to minimize wear, thus dynamically responding to energy requirements.
Data Source
AI summary
A method for predictive charging control for an electrical energy store of a motor vehicle, wherein an energy exchange between the energy store and an electrical energy source is controlled by a charging device. This provides that a future time profile of a non-energy requirement resulting from a respective parking phase of the motor vehicle is predicted and, independently of an availability of a charging power of the energy source, a state of charge of the energy store is kept below a limit value by the charging device if the predicted time profile of the non-energy requirement satisfies a predetermined rest criterion for a predetermined next time interval.