Electric Vehicle Range Estimation via Temperature Control Energy Segmentation
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Solution Overview
Problem
Current methods for estimating the range of electric vehicles do not accurately account for temperature control energy consumption, leading to inaccurate range predictions and potential driver anxiety.
Innovation Solution
A method that measures ambient and target temperatures to determine partial temperature control energy consumptions in transient and stationary phases, integrating usage profiles and battery state of charge to calculate a precise range estimation, while also accounting for transient and stationary phases of temperature control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If temperature control energy consumption is not accounted for in range estimation, then the calculation is simpler, but the range prediction accuracy deteriorates
Solution Approach 1:
The temperature control energy consumption is segmented into two distinct phases: transient phase energy consumption (determined from signed temperature difference between actual and target temperature) and stationary phase energy consumption (determined from ambient temperature). This segmentation allows the complex temperature control process to be broken down into manageable components that can be calculated using pre-stored typical energy consumption values, thereby improving accuracy without excessive computational complexity
Solution Approach 2:
Typical temperature control energy consumptions for both transient and stationary phases are pre-stored in the system based on historical data and environmental conditions. When estimating range, the system directly retrieves these pre-stored values based on current temperature and ambient conditions, avoiding the need for real-time complex thermal simulations while maintaining high accuracy in energy consumption estimation
2Measurement precision
If transient and stationary phases are distinguished in temperature control, then energy consumption estimation is more accurate, but the control system becomes more complex
Solution Approach 1:
The system dynamically identifies whether the vehicle is in transient or stationary phase based on real-time temperature conditions. During transient phase (when actual temperature differs significantly from target temperature), the system uses pre-stored transient energy consumption values. When the system reaches target temperature and maintains it, it switches to using pre-stored stationary phase energy consumption values. This dynamic adaptation simplifies the control logic while improving estimation accuracy
Solution Approach 2:
The system changes the parameter used for energy consumption estimation based on the operational phase: during transient phase, energy consumption is determined as a function of signed temperature difference; during stationary phase, energy consumption is determined as a function of ambient temperature. This parameter change approach allows accurate estimation without requiring complex real-time calculations, as each phase has its own simplified estimation model
Data Source
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AI summary
The invention relates to a first method for estimating the temperature control energy consumption of an electric vehicle. The invention further relates to a second method for estimating the range of an electric vehicle. The invention also relates to a driver assistance system configured to perform the first and/or the second method. Furthermore, the invention relates to a computer program comprising instructions which, when executed by a computer, cause the computer to perform the first and/or the second method. The invention further relates to a computer-readable storage medium comprising instructions which, when executed by a computer, cause the computer to perform the first and/or the second method. Finally, the invention relates to an electric vehicle configured to perform the first and/or second method according to the invention.