Hybrid Vehicle SOC Control via Road Condition Segmentation
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Solution Overview
Problem
Hybrid vehicles face challenges in controlling the state of charge (SOC) of their batteries, particularly in urban areas with congestion and traffic signals, leading to reduced fuel efficiency due to inefficient charging and varying driving conditions.
Innovation Solution
A vehicle system that acquires road condition information and uses this data to control engine operation by setting target SOC levels based on driving direction, speed, and slope, adjusting engine and motor power to optimize battery charging and fuel efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the engine operation is flexibly controlled according to driving state, then the adaptability to different driving conditions is improved, but the difficulty of immediately applying driving state to SOC control increases
Solution Approach 1:
The patent segments the continuous driving state into discrete driving sections (urban section, medium and high speed section, ultra-high speed section) with distinct SOC control strategies. Each section has predefined SOC target ranges, transforming the complex continuous control problem into manageable discrete segments that can be independently controlled.
Solution Approach 2:
The system pre-establishes SOC target ranges for different driving sections before actual driving occurs. By preparing the control strategy in advance based on predicted driving conditions, the system eliminates the complexity of real-time decision-making and enables immediate application of appropriate SOC control when entering each section.
2Use of energy by moving object
If SOC control is implemented in urban section with congestion and traffic signals, then the fuel efficiency should be improved, but the charging efficiency is low leading to idle charge and full load entrance
Solution Approach 1:
The patent applies different SOC control strategies tailored to specific driving sections. In urban sections with congestion and traffic signals, the system sets specific SOC target ranges that account for the low charging efficiency characteristics of this section, preventing idle charging by maintaining appropriate charge levels before entering such sections.
Solution Approach 2:
The system pre-charges the battery to appropriate SOC levels before entering urban sections with known low charging efficiency. By anticipating the upcoming section characteristics and adjusting SOC in advance, the system avoids the problem of idle charging and ensures optimal fuel efficiency without compromising charging efficiency.
3Productivity
If the battery is charged in medium and high speed section with high charging efficiency, then the charging efficiency is improved, but the SOC may escape the normal area
Solution Approach 1:
The patent implements section-specific SOC control where each driving section has its own target SOC range. In medium and high speed sections with high charging efficiency, the system sets appropriate SOC targets that utilize the efficient charging opportunity while preventing overcharging that would cause SOC to escape the normal area, thus maintaining both charging efficiency and control stability.
4Use of energy by moving object
If road condition information is acquired and used to control engine operation, then the fuel efficiency is improved, but the device complexity increases
Solution Approach 1:
The patent simplifies the control system complexity by segmenting road conditions into distinct sections with characteristic profiles. Instead of implementing complex real-time analysis of all possible road condition variations, the system divides the driving route into manageable sections (urban, medium-high speed, ultra-high speed) each with predefined control strategies, making the overall system more tractable while maintaining fuel efficiency benefits.
Data Source
AI summary
Disclosed is a system and method for controlling a vehicle using a predetermined driving mode of a driving route. A vehicle includes an engine, a speed detector configured to detect a rotational speed of the vehicle wheel and a steering angle detector configured to detect a steering angle. The vehicle further comprises a controller configured to control driving of the engine using a predetermined driving mode. The controller obtains a cumulative driving distance based on the rotational speed, obtains a driving direction based on the detected steering angle. The controller controls operation of the engine based on the cumulative driving distance and the driving direction according to a predetermined driving mode of a driving route.