RV Battery Charging Control Using Trip and Weather Prediction
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Solution Overview
Problem
Existing recreational vehicle (RV) charging systems fail to determine the required charging amount for each energy storage device, leading to inadequate charging of devices with urgent demands and inefficient utilization of energy storage capacity, resulting in potential device malfunction during trips.
Innovation Solution
A charging control method that utilizes trip information, including destination and weather data, to predict the power consumption of RV devices, determining and automatically charging the appropriate energy storage batteries based on these predictions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual charging method is used, then charging operation is simple, but required charging amount cannot be determined and allocation efficiency is low
Solution Approach 1:
The system performs preliminary actions by obtaining trip information in advance, predicting power consumption before the trip occurs, and determining charging amounts ahead of time. This allows the charging controller to automatically allocate charging resources efficiently without manual intervention during the actual charging process.
Solution Approach 2:
The charging system serves itself by automatically determining charging amounts and controlling the vehicle-mounted charger based on predicted power consumption and trip information. The system eliminates the need for manual charging operations while optimizing energy storage capacity allocation through autonomous decision-making.
2Device complexity
If manual charging method is used, then system complexity is low, but energy storage capacity utilization is insufficient
Solution Approach 1:
The system performs preliminary actions by obtaining trip information in advance, predicting power consumption before the trip occurs, and determining charging amounts ahead of time. This allows the charging controller to automatically allocate charging resources efficiently without manual intervention during the actual charging process.
Solution Approach 2:
The charging system serves itself by automatically determining charging amounts and controlling the vehicle-mounted charger based on predicted power consumption and trip information. The system eliminates the need for manual charging operations while optimizing energy storage capacity allocation through autonomous decision-making.
3Device complexity
If charging amount is not determined, then charging control is simple, but devices with urgent demand cannot be fully charged
Solution Approach 1:
The system performs preliminary actions by obtaining trip information in advance, predicting power consumption before the trip occurs, and determining charging amounts ahead of time. This allows the charging controller to automatically allocate charging resources efficiently without manual intervention during the actual charging process.
Solution Approach 2:
The system uses feedback by continuously monitoring the state of energy storage devices, comparing actual power consumption with predicted values, and adjusting charging amounts dynamically. This ensures that devices with urgent charging demands receive adequate power allocation while optimizing overall system efficiency.
Data Source
AI summary
A charging control method for an energy storage device and a related apparatus are provided, and the method includes the following. A corresponding first usage device is determined based on a destination of a current trip in trip information, and a predicted power consumption amount of the first usage device is determined based on weather information of the trip information. A first charging amount of a first energy storage battery corresponding to the first usage device is determined based on the trip information and the predicted power consumption amount of the first usage device. Finally, a vehicle-mounted charger is controlled to charge the first energy storage battery based on the first charging amount of the first energy storage battery.