Vehicle Charging Control Using Predicted Need State of Charge
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Solution Overview
Problem
Existing reservation charging methods for vehicles do not consider the actual driving requirements of users, leading to prolonged high charging states that can reduce battery life, as they charge the battery to 100% SOC without considering the state of charge and driving needs.
Innovation Solution
A charging control method that determines the estimated need state of charge based on user vehicle usage habits, comparing it with the current state of charge to decide when to charge and set a target state of charge, thereby preventing unnecessary high charging states and ensuring timely charging.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the battery is charged to 100% SOC based on reservation time, then the charging guarantee is improved, but the battery life is reduced due to prolonged high charging state
Solution Approach 1:
The charging control system dynamically adjusts the target SOC based on real-time driving requirement predictions rather than using a fixed 100% SOC target. The system continuously monitors usage habit data and updates the estimated need SOC, making the charging target adaptive and flexible to match actual driving needs, thereby reducing unnecessary high SOC states while ensuring adequate charging.
Solution Approach 2:
The system changes the charging parameter (target SOC) from a static 100% value to a dynamic value based on predicted driving requirements. By calculating the estimated need SOC using usage habit data and comparing it with current SOC, the system adjusts the charging target parameter to optimize both charging adequacy and battery health, avoiding prolonged high SOC states.
2Use of energy by moving object
If the vehicle charges continuously until full, then the energy supply is ensured, but the charging time is excessive and battery life is reduced
Solution Approach 1:
The system applies partial charging action by determining the estimated need SOC based on driving requirements and charging only to that level rather than continuously charging to 100%. This partial charging approach is sufficient to meet driving energy needs while significantly reducing charging time and avoiding unnecessary prolonged high SOC states that harm battery life.
Solution Approach 2:
The charging control system performs self-service by automatically analyzing usage habit data, predicting driving requirements, and determining the appropriate charging target SOC without user intervention. The system independently decides when and how much to charge by comparing estimated need SOC with current SOC, optimizing energy supply efficiency and charging time management.
3Loss of energy
If the reservation charging is based only on grid load and electric costs, then the charging cost is reduced, but the actual driving requirements are not met
Solution Approach 1:
The system implements feedback by continuously monitoring and analyzing usage habit data (charging time points, driving mileage) to predict future driving requirements. This feedback loop enables the system to adjust charging strategies based on actual usage patterns, ensuring that charging decisions satisfy both cost optimization goals and actual driving needs by comparing estimated need SOC with current SOC before initiating charging.
Data Source
AI summary
A charging control method for a vehicle having an electric function includes: vehicle usage habit data of a user in preset time is read. The usage habit data includes a charging time point of each charging and driving mileage of each driving of the vehicle in the preset time. A current remaining state of charge of the vehicle at a current moment is detected. An estimated need state of charge of the vehicle is determined based on the usage habit data. Whether the vehicle needs charging is determined based on the estimated need state of charge and the current remaining state of charge. The present disclosure further provides a charging control apparatus, a vehicle, and a computer-readable storage medium.