Predictive Vehicle Remote Start for Departure-Time Climate Readiness
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Solution Overview
Problem
Current remote start systems for automotive vehicles rely solely on operator requests, failing to consider environmental and behavioral factors that could optimize the vehicle's readiness for departure, such as ambient conditions and regular driving patterns.
Innovation Solution
A remote start controller that analyzes sensor data, including geolocation, vehicle state, and operator profiles to preemptively initiate a remote start, adjusting engine warm-up and climate control timing based on external conditions and inferred operator behavior, ensuring the vehicle is ready at the desired departure time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Temperature
If the operator manually starts the engine and leaves the vehicle until the interior is heated to a comfortable temperature, then the vehicle interior reaches a comfortable temperature, but the operator must wait a significant amount of time before departure
Solution Approach 1:
The system performs the engine start and interior heating action in advance of the operator's actual departure time. The controller monitors various factors including operator availability, environmental conditions, and vehicle state to determine the optimal time to initiate remote start, thereby preparing the vehicle interior before the operator needs to depart.
Solution Approach 2:
The system continuously monitors multiple parameters including interior temperature, exterior environmental conditions, operator availability status, and vehicle state to dynamically adjust and optimize the remote start timing. This feedback mechanism allows the system to learn from past operations and improve future timing decisions.
2Loss of time
If the operator initiates remote start based solely on set departure time, then the departure time is met, but the vehicle may not be ready due to unconsidered environmental and behavioral factors
Solution Approach 1:
The system initiates the remote start process in advance of the actual departure time, allowing sufficient time for the engine to start and the interior to reach comfortable conditions before the operator needs to leave.
Solution Approach 2:
The system dynamically adjusts the remote start timing based on real-time monitoring of multiple variables including operator availability, environmental conditions (temperature, humidity), vehicle state (engine temperature, battery charge), and historical behavioral patterns. This dynamic adjustment ensures reliable vehicle readiness while optimizing departure time adherence.
3Reliability
If the remote start is initiated earlier to ensure vehicle readiness, then the vehicle is warmed up properly, but additional fuel is consumed and battery charge is reduced
Solution Approach 1:
The system performs engine start and warming in advance of departure, but optimizes the timing to balance vehicle readiness requirements with energy consumption concerns.
Solution Approach 2:
The system changes the timing parameter of remote start initiation based on multiple factors including environmental conditions (warmer temperatures require less warming time), vehicle state (engine temperature, battery charge level), and operational history. This parameter optimization reduces unnecessary energy consumption while ensuring vehicle readiness.
4Reliability
If the system monitors multiple factors including operator profiles and environmental conditions to determine remote start timing, then vehicle readiness is optimized, but the system complexity increases
Solution Approach 1:
The controller leverages existing multi-functional vehicle systems and sensors (environmental sensors, operator detection systems, communication modules) to perform the remote start timing optimization without requiring entirely new specialized components. This approach reduces system complexity while achieving sophisticated optimization.
Solution Approach 2:
The system uses the vehicle's own existing sensors, processors, and communication capabilities to autonomously determine optimal remote start timing, eliminating the need for external complex control systems or additional specialized hardware.
Data Source
AI summary
This disclosure describes techniques that enable a vehicle remote start controller to initiate a remote start of an idle vehicle. The remote start controller may retrieve sensor data associated with a vehicle and analyze the sensor data to determine the current state of the vehicle. In doing so, the remote start controller may determine whether to initiate a remote start of the vehicle based at least in part on the current state. In response to determining to initiate the remote start, the remote start controller may generate computer-executable instructions for delivery to the vehicle that initiates the remote start.