Autonomous EV Relocation for Cold-Weather Battery Protection
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Solution Overview
Problem
Electric vehicles (EVs) suffer significant performance degradation and charging inefficiencies in cold weather due to battery performance drops, leading to reduced range and prolonged charging times, posing a risk of incapacitation during extreme cold.
Innovation Solution
An autonomous system in EVs monitors ambient temperature and proactively moves the vehicle to warmer locations with charging stations, considering battery state and exposure duration to optimize performance and longevity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the vehicle operates in cold ambient temperatures, then the vehicle can function in extreme weather conditions, but the battery performance degrades and charging efficiency decreases
Solution Approach 1:
The system performs preliminary actions by proactively monitoring ambient temperature and predicting cold weather conditions before they critically impact battery performance. The autonomous relocation to warmer locations occurs in advance, preventing severe battery degradation and charging inefficiencies rather than reacting after problems arise.
Solution Approach 2:
The system introduces an intermediary solution by relocating the vehicle to intermediate warmer locations (such as parking garages or indoor facilities) rather than attempting to directly resolve the cold temperature issue at the current location. This intermediary warm environment serves as a buffer that protects the battery from extreme cold while maintaining operational functionality.
2Reliability
If the vehicle remains stationary in cold locations, then the battery is exposed to damaging temperatures, but moving the vehicle consumes additional energy and time
Solution Approach 1:
The system continuously monitors ambient temperature, battery state of charge, and vehicle location data, using this feedback to dynamically determine when relocation is necessary. The feedback loop compares current conditions against thresholds and adjusts the decision to relocate accordingly, optimizing the balance between battery protection and energy/time consumption.
Solution Approach 2:
The system changes operational parameters by adjusting the decision threshold for relocation based on multiple factors including battery state of charge, predicted duration of cold exposure, and available warmer locations. When the battery is fully charged or warmer locations are unavailable, the system may adjust parameters to delay or cancel relocation, reducing unnecessary energy and time expenditure.
3Reliability
If the vehicle autonomously relocates to warmer locations, then battery functionality is preserved, but the system complexity increases
Solution Approach 1:
The system achieves multi-functionality by integrating temperature monitoring, location tracking, autonomous navigation, and battery management into a single unified system. The same sensor network and processing units used for other autonomous vehicle functions are leveraged for cold weather protection, avoiding the need for separate dedicated hardware and reducing overall system complexity.
Solution Approach 2:
The system performs self-service by autonomously monitoring its own battery conditions and independently making relocation decisions without requiring external intervention. The vehicle uses its own sensors, processors, and actuators to detect cold conditions, select warmer locations, and execute relocation, eliminating the need for complex external control systems or manual operation.
Data Source
AI summary
An example operation includes one or more of capturing sensor data via a hardware sensor of a vehicle while the vehicle is at a location, determining that a temperature of an ambient environment around the vehicle is below a predetermined temperature threshold based on the sensor data, identifying a second location which is warmer than the location based on mapping data from a mapping application associated with the vehicle, and autonomously moving the vehicle to the second location.