Battery Vehicle Route Assignment Under Temperature Range Limits
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current delivery route optimization methods fail to account for evolving business models and technology changes, such as the introduction of electric and hybrid-electric vehicles, leading to inefficiencies and increased costs in vehicle deployment.
Innovation Solution
A software application that evaluates the suitability of battery-operated vehicles for specific travel routes based on energy storage depletion characteristics, ambient temperature, and other factors, allowing for the deployment of optimal vehicles to minimize energy consumption and operational costs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional delivery route optimization methods are used, then delivery routes can be charted, but they fail to account for evolving business models and technology changes such as electric and hybrid-electric vehicles
Solution Approach 1:
The system dynamically adapts to changing conditions by evaluating multiple vehicle types (gasoline, diesel, electric, hybrid-electric) and adjusting route assignments based on real-time factors such as weather conditions, delivery demands, and vehicle availability. The optimization is not static but continuously adapts to evolving business models and technology changes.
Solution Approach 2:
The system changes optimization parameters based on different vehicle types and conditions. It evaluates energy consumption, range limitations, charging requirements, and operational costs as varying parameters depending on whether electric or conventional vehicles are deployed, allowing the system to adapt to technology changes without requiring a completely new optimization framework.
2Object-generated harmful factors
If electric vehicles are deployed on routes with extreme temperatures, then environmental sustainability is improved, but battery performance is adversely affected
Solution Approach 1:
The system applies different evaluation criteria to different geographic locations and route segments. When evaluating electric vehicle deployment, it specifically considers local temperature conditions and their impact on battery performance, allowing electric vehicles to be deployed in moderate climates while selecting conventional vehicles for extreme temperature regions.
Solution Approach 2:
The optimization system acts as an intermediary between environmental goals and technical constraints. It evaluates whether electric vehicles can meet both sustainability objectives and reliability requirements by considering temperature effects on battery performance, and only assigns electric vehicles to routes where both criteria can be satisfied.
3Productivity
If more vehicles are assigned to delivery areas during high demand periods, then delivery capacity is increased, but operational costs increase
Solution Approach 1:
The system creates a universal optimization framework that handles multiple vehicle types (gasoline, diesel, electric, hybrid-electric) and multiple delivery scenarios (normal and high demand periods) within a single system. This allows flexible vehicle assignment based on real-time conditions rather than requiring separate systems for different operational modes.
Solution Approach 2:
The system dynamically changes operational parameters such as vehicle assignment, route selection, and energy consumption targets based on demand levels. During high demand periods, it may prioritize delivery capacity by assigning additional vehicles including electric vehicles to appropriate routes, while during normal periods it may optimize for lower energy consumption and costs.
Data Source
AI summary
The disclosure is generally directed to systems and methods for optimizing vehicle deployment. A software application is used to obtain information about a travel route. The information is used to evaluate an energy storage depletion characteristic of a battery that is used to operate a battery-operated vehicle and to determine whether the battery-operated vehicle can be deployed on the travel route. One of the factors that can affect the energy storage depletion characteristic of the battery is ambient temperature, because battery performance may be adversely affected by extreme temperatures. Consequently, a range of operation of the battery-operated vehicle may be impacted if the travel route has extreme ambient temperatures. If the evaluation indicates that the energy storage depletion characteristic of the battery is unsuitable for the travel route, another battery-operated vehicle with a better battery may be deployed on the travel route.