Custom EV Power Profiles for Trip-Specific Range Management
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Solution Overview
Problem
Existing power consumption profiles in electric and hybrid electric vehicles lack flexibility and do not account for variations between specific vehicles and customer preferences, leading to range anxiety.
Innovation Solution
A system that allows for the creation of customized power consumption profiles based on vehicle-specific or fleet-specific data elements, enabling users to modify and save these profiles, and includes an intelligent infotainment system for dynamic adjustments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If pre-programmed power consumption profiles are used, then power management is simplified, but flexibility and adaptability to individual trips are reduced
Solution Approach 1:
The system dynamically generates power consumption profiles based on trip-specific data elements such as route, weather, and vehicle conditions. Instead of using static pre-programmed profiles, the system adapts the power consumption settings in real-time to match the specific characteristics of each upcoming trip, thereby maintaining ease of operation while significantly improving adaptability.
Solution Approach 2:
The system automatically identifies data elements for upcoming trips and generates appropriate power consumption profiles without requiring manual user configuration. The controller autonomously selects which vehicle systems to power and at what levels based on the trip data, eliminating the need for users to manually adjust complex settings while still providing highly customized profiles.
2Device complexity
If standard power consumption profiles are applied to all vehicles, then system complexity is reduced, but individual vehicle and customer preferences are not accounted for
Solution Approach 1:
The system segments the power consumption profile generation process into distinct data elements (route characteristics, weather conditions, vehicle state, customer preferences) that can be independently identified and processed. This segmentation allows the system to build customized profiles by combining specific segments relevant to each vehicle and trip, maintaining manageable complexity while achieving high levels of customization.
Solution Approach 2:
The system applies different power consumption settings to different vehicle systems based on local conditions. Instead of using a uniform profile across all systems, the controller selectively adjusts power allocation for individual systems (e.g., HVAC, infotainment, lighting) according to their specific relevance to the upcoming trip and customer preferences, thereby achieving vehicle-specific customization without proportionally increasing overall system complexity.
Data Source
AI summary
A method for implementing custom power consumption profiles for electric vehicles comprising identifying a set of data elements corresponding to a specific upcoming trip using a controller, identifying whether an existing custom power consumption profile matching the set of data elements is available to the controller and responding to a lack of existing custom power consumption profiles by entering a create custom power consumption profile routine, responding to identification of an existing custom power consumption profile by providing a vehicle operator with at least one suggested modification to the existing custom power consumption profile, and enacting the identified custom power consumption profile including all accepted suggested modifications of the at least one suggested modification.