Hybrid Vehicle Path Search Energy Minimization
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Solution Overview
Problem
Conventional path search methods for vehicles are not optimized for hybrid electric vehicles, as they do not consider the unique energy efficiency characteristics of eco-friendly vehicles, such as regenerative braking and state of charge, leading to suboptimal fuel consumption.
Innovation Solution
A method for a hybrid electric vehicle that calculates driving load, output energy, brake energy, consumption energy, and regeneration energy in each section of a path, using driving environment information to determine an energy minimization path by comparing energy consumptions across multiple paths.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If conventional path search methods are used that only consider fuel consumption based on driving load, then the calculation is simple and straightforward, but the energy efficiency cannot be optimized for hybrid electric vehicles that have regenerative braking capabilities
Solution Approach 1:
The path is divided into multiple sections, and for each section, the method separately calculates driving load, output energy, brake energy, consumption energy, and regeneration energy. This segmentation allows the complex energy efficiency calculation to be broken down into manageable components that can be processed systematically.
Solution Approach 2:
The method pre-calculates and stores energy consumption data for different path sections before final path selection. By preparing energy consumption information in advance for each section, the system enables efficient comparison and selection of optimal paths without performing complex real-time calculations during route planning.
2Use of energy by moving object
If a path is selected based on shortest distance or traditional fuel consumption, then the path selection is simple, but it may not utilize regenerative braking opportunities effectively
Solution Approach 1:
The path search method dynamically adjusts energy consumption calculations based on vehicle operating conditions, including regenerative braking potential. Instead of using static fuel consumption values, the system adapts energy calculations to reflect actual hybrid vehicle operations, capturing opportunities for energy recovery during deceleration and braking events.
Solution Approach 2:
The method changes the parameters used in path evaluation from traditional fuel consumption alone to a comprehensive energy model that includes output energy, brake energy, consumption energy, and regeneration energy. This parameter transformation enables the path selection to account for regenerative braking opportunities while maintaining a systematic evaluation framework.
3Use of energy by moving object
If the path search considers multiple energy parameters including regeneration energy, then energy optimization is improved, but the computational burden increases
Solution Approach 1:
The system pre-calculates energy consumption data for each path section and stores it for rapid retrieval during path selection. By preparing energy consumption information in advance, the system avoids performing complex multi-parameter calculations during the actual path search, significantly reducing computational time while maintaining optimization accuracy.
Solution Approach 2:
The path evaluation is segmented into discrete sections, each with pre-computed energy parameters. This segmentation allows the system to compare paths by summing pre-calculated section energies rather than performing comprehensive energy simulations for entire paths, reducing computational burden while preserving optimization capability.
Data Source
AI summary
A hybrid electric vehicle that searches for a path based on efficiency in consideration of powertrain characteristics of the vehicle and a searching method thereof are provided. The method includes acquiring driving environment information and determining a driving load of the vehicle in each of a plurality of sections of at least one path from a point of departure to a destination. Output energy and brake energy are determined in each of the sections based on the determined driving load and consumption energy and regeneration energy are determined in each of the sections based on the output and brake energies in each of the sections. Energy consumption is determined in each of the at least one path by summing the consumption and regeneration energies in the sections and an energy minimization path is determined by comparing the determined energy consumptions on the at least one path.