EV Range Control With Charging Stops and Target Residual Range
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Solution Overview
Problem
Current range control systems for battery-operated vehicles require manual planning and often result in inefficient charging times or unnecessary stopovers due to fixed user settings, failing to adapt navigation planning to the destination and considering non-linear battery state of charge relationships.
Innovation Solution
A method for determining a navigation route with charging stopovers and minimum states of charge to ensure a target residual range is achieved at the destination, optimizing charging times and reducing unnecessary stops by considering factors like charging speed and energy consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual charging stop planning is used, then user control over charging stops is achieved, but planning accuracy and efficiency deteriorate due to non-linear battery state of charge relationships
Solution Approach 1:
The system performs automatic charging stop planning and range calculation without requiring manual user input for each charging stop. The control unit automatically determines optimal charging stops and state of charge values based on navigation destination and battery characteristics, eliminating the need for users to manually calculate non-linear state of charge relationships.
Solution Approach 2:
The system dynamically adjusts charging parameters (state of charge values, charging stop locations) based on navigation distance, battery characteristics, and charging station availability. The control unit calculates optimal state of charge parameters automatically, adapting to different trip scenarios and battery states without requiring manual user adjustment.
2Ease of operation
If fixed user settings for state of charge are used, then simplicity of operation is maintained, but charging time efficiency deteriorates due to unnecessarily long or excessive charging stops
Solution Approach 1:
The system dynamically adjusts state of charge targets and charging stop locations based on real-time navigation data, battery state, and charging station characteristics. Instead of fixed user settings, the control unit continuously optimizes charging parameters to match actual trip requirements, reducing unnecessary charging time while maintaining operational simplicity.
Solution Approach 2:
The system uses feedback from navigation distance, battery state of charge, and charging station availability to automatically adjust charging plans. The control unit monitors trip progress and battery status, dynamically modifying charging stop recommendations to optimize total travel time while maintaining user-friendly operation.
3Device complexity
If navigation planning and vehicle settings are independent, then system modularity is maintained, but range adaptation to navigation destination deteriorates
Solution Approach 1:
The system merges navigation planning functions with vehicle range management functions into an integrated control unit. The control unit simultaneously processes navigation destination data and battery state information to generate unified route recommendations that include optimal charging stops, achieving both modularity through software integration and adaptability through combined data processing.
Solution Approach 2:
The control unit performs multiple functions: navigation route planning, battery state monitoring, charging stop calculation, and range optimization. This multi-functional approach allows the same system component to handle both navigation and vehicle settings, improving adaptability while maintaining reasonable system complexity through functional integration.
4Ease of operation
If standard charging settings are used, then ease of operation is maintained, but charging efficiency deteriorates due to non-linear battery state of charge relationships
Solution Approach 1:
The system automatically adjusts charging parameters (state of charge targets, charging power levels) based on battery characteristics and trip requirements. Instead of using fixed standard settings, the control unit dynamically optimizes charging parameters to match the non-linear state of charge relationships, improving charging efficiency while maintaining ease of operation through automatic adjustment.
Data Source
AI summary
The disclosure relates to a method and a device for controlling the range of a motor vehicle. The method comprises the identification of a navigation destination. The method also comprises the identification of a target residual range to be achieved at the navigation destination. A navigation route to the navigation destination via at least one charging stopover is determined, wherein furthermore minimum states of charge of a battery to be achieved at the at least one charging stopover are determined in such a way that the motor vehicle has a residual range upon arrival at the navigation destination which corresponds at least to the identified target residual range.