Fleet Vehicle Climate Control Remote Management for Energy Efficiency
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing HVAC climate control systems in vehicle fleets face inefficiencies due to user-dependent operation and lack of centralized control, leading to excessive power drainage from auxiliary sources, which can result in insufficient power for climate control and vehicle startup.
Innovation Solution
A remote management system that monitors and controls climate control systems across a fleet of vehicles, identifying performance inefficiencies and adjusting operational settings in real-time to optimize energy use, using a central server that receives parameters from each vehicle and transmits efficient settings to reduce energy consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If local control of climate control systems is provided to drivers, then ease of operation is improved, but energy efficiency deteriorates due to user-dependent operation
Solution Approach 1:
The system continuously monitors operational parameters from each vehicle's climate control system and provides real-time feedback to drivers through the graphical user interface. The fleet server compares actual energy consumption against optimal settings and communicates adjustments back to individual vehicles, creating a closed-loop feedback system that maintains ease of local operation while improving energy efficiency through data-driven guidance.
Solution Approach 2:
The system enables drivers to autonomously monitor and adjust their own vehicle's climate control settings through the graphical user interface based on real-time data from the fleet server. Each driver can independently view energy consumption patterns, receive optimization recommendations, and make adjustments without external intervention, combining local control flexibility with centralized intelligence.
2Loss of energy
If centralized remote management is implemented across the fleet, then energy efficiency is improved through optimized control, but device complexity increases
Solution Approach 1:
The system merges the control functions of multiple individual vehicles into a single centralized fleet server that manages climate control across the entire fleet. By consolidating data collection, analysis, and optimization functions at the fleet server level, the system achieves economies of scale that improve energy efficiency while reducing the computational burden on individual vehicle systems.
Solution Approach 2:
The fleet server acts as an intermediary between individual vehicles and the central management system. It receives operational data from vehicles, processes this information against optimization algorithms, and transmits control recommendations back to vehicles. This intermediary layer simplifies the architecture by centralizing complex decision-making logic while maintaining straightforward vehicle-server communication protocols.
3Reliability
If real-time monitoring of multiple parameters is performed, then reliability is improved by identifying inefficiencies, but use of energy increases for data collection and transmission
Solution Approach 1:
The system monitors a comprehensive set of operational parameters including temperature, humidity, compressor status, and energy consumption, but transmits only the most critical data points to the fleet server. By selectively transmitting partial data sets based on priority and anomaly detection, the system maintains high reliability for identifying inefficiencies while minimizing the energy overhead of data communication.
Data Source
AI summary
The various embodiments described herein include methods, devices, and systems for managing client control systems of a fleet of vehicles. In one aspect, a method includes (i) receiving, at a controller from a fleet server remote from at least one vehicle, at least one graphics instruction relating to a state of the at least one vehicle's auxiliary power source, and (ii) displaying on a graphical user interface (GUI), (a) a parameter associated with a climate control system of the at least one vehicle, and (b) a ring surrounding the parameter. The ring represents the state of the auxiliary power source that changes color, intensity, or size based on a degree of energy efficiency of the climate control system of the at least one vehicle.