EV Energy Consumption Prediction Using Segmented Real-Time Battery Data
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Solution Overview
Problem
Existing methods for calculating the energy consumption of electric vehicles do not accurately account for the driver's habits or real-time driving conditions, leading to inaccuracies in real-time energy consumption calculations.
Innovation Solution
A method and apparatus that determine actual energy consumption based on real-time voltage and current of the battery pack, using weighted averages and adjustment parameters to calculate accurate average energy consumption, considering the driver's habits and real-time conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If energy consumption is calculated based on total discharge power and total mileage of the entire power-on cycle, then the calculation method is simple, but the real-time energy consumption cannot be accurately calculated
Solution Approach 1:
The patent divides the entire power-on cycle into multiple unit mileage segments, calculating energy consumption for each segment separately. This segmentation allows the system to capture real-time variations in energy consumption while maintaining a structured calculation approach that balances simplicity and accuracy.
Solution Approach 2:
The patent pre-calculates and stores energy consumption data for each unit mileage segment during the power-on cycle. By preparing this data in advance and organizing it into segments, the system enables accurate real-time queries without performing complex calculations at the moment of measurement.
2Ease of operation
If traditional calculation methods are used, then the calculation process is straightforward, but driving habits and real-time working conditions are not accounted for
Solution Approach 1:
The patent applies different calculation approaches to different unit mileage segments based on their specific characteristics. By treating each segment locally rather than applying a uniform calculation method throughout, the system captures the impact of varying driving habits and real-time working conditions on energy consumption.
Solution Approach 2:
The patent implements a dynamic calculation method that adapts to changing driving conditions and habits. The energy consumption calculation evolves as the vehicle operates, incorporating real-time data from each unit mileage segment rather than relying on static overall averages, thus capturing the dynamic impact of driving behavior.
Data Source
AI summary
The embodiments of the present application provide a method and an apparatus for predicting an average energy consumption of an electric vehicle. The method comprises: according to a real-time voltage and a real-time current of a battery pack of an electric vehicle, determining an actual energy consumption of the electric vehicle in the traveled mileage segment corresponding to the current time, the traveled mileage segment comprising a plurality of unit mileage segments; according to the actual energy consumption of each unit mileage segment of the traveled mileage segment, determining an initial average energy consumption of the electric vehicle at the current time; acquiring a target average energy consumption and average energy consumption adjustment parameters of the electric vehicle; and according to the initial average energy consumption, the target average energy consumption and the average energy consumption adjustment parameters, determining the actual average energy consumption of the electric vehicle at the current time. The present application can accurately calculate the actual average energy consumption of the electric vehicle at the current time in real time.