Hybrid Vehicle SOC Control Using Route-Based Driving Modes

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Solution Overview

Problem

Hybrid vehicles face inefficiencies in fuel consumption and battery charging/discharging due to suboptimal engine operating points, leading to deteriorated fuel efficiency and increased battery loss when SOC is not maintained appropriately.

Innovation Solution

An apparatus and method for controlling a hybrid vehicle that includes an engine, drive motor, battery, electric supercharger, navigation device, and controller to calculate optimal SOC and adjust driving modes based on torque requirements, minimizing battery charging and discharging losses by determining the most efficient operating points and modes (EV, engine single, normal HEV, and supercharged HEV modes) for each section of a driving path.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If the engine is operated in the optimal operating point to charge the battery, then the battery SOC is maintained, but charging and discharging loss of the battery occurs

Engineering Contradiction:
Improvebattery SOC maintenanceVSAvoidcharging and discharging loss
Core Design Contradiction:
ReliabilityVSLoss of energy

Solution Approach 1:

The navigation device calculates driving path information in advance, and the controller pre-determines optimal SOC for each section of the driving path before the vehicle actually travels. This allows the system to plan battery charging/discharging strategies ahead of time, avoiding frequent SOC adjustments that cause energy loss while ensuring SOC is maintained at appropriate levels for upcoming driving sections.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The controller dynamically adjusts the engine operating point and battery SOC targets based on real-time driving conditions and pre-calculated optimal SOC for each path section. The system transitions between different driving modes (EV mode, HEV mode, engine mode) dynamically, optimizing the balance between maintaining SOC and minimizing charging/discharging cycles.

Inventive Principle:
Principle #15Dynamics

2Loss of energy

If the engine cannot be operated in the optimal operating point due to lack of SOC, then charging can occur, but fuel efficiency deteriorates

Engineering Contradiction:
Improvecharging loss reductionVSAvoidfuel efficiency
Core Design Contradiction:
Loss of energyVSProductivity

Solution Approach 1:

The system pre-calculates optimal SOC for each section of the driving path using navigation information, allowing the controller to plan engine operation and battery charging/discharging strategies in advance. This ensures the engine operates at optimal points for fuel efficiency while anticipating future charging needs based on upcoming driving conditions.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The controller continuously monitors actual SOC levels and compares them with pre-determined optimal SOC values for each path section. Based on this feedback, the system adjusts engine operating points and driving modes in real-time, ensuring fuel efficiency is maintained while achieving necessary battery charging when SOC deviates from optimal levels.

Inventive Principle:
Principle #23Feedback

3Reliability

If the engine is continuously operated in the optimal operating point, then SOC can be maintained, but charging and discharging loss increases

Engineering Contradiction:
ImproveSOC maintenanceVSAvoidbattery loss
Core Design Contradiction:
ReliabilityVSLoss of energy

Solution Approach 1:

The navigation device and controller work together to pre-determine optimal SOC for each section of the driving path before the vehicle reaches that section. This allows the system to plan engine operation strategies in advance, maintaining SOC at appropriate levels without requiring continuous charging/discharging cycles, thereby reducing battery loss while ensuring SOC maintenance.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The controller changes the target SOC parameter dynamically based on the specific driving path section and upcoming driving conditions. Instead of maintaining a fixed SOC level, the system adjusts optimal SOC targets according to pre-calculated path information, reducing unnecessary charging/discharging cycles while ensuring SOC remains appropriate for each driving section.

Inventive Principle:
Principle #35Parameter changes

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

This solution allows for the minimization of battery charging and discharging losses by maintaining optimal SOC levels, enhancing fuel efficiency and reducing battery wear, thereby improving overall vehicle performance.

Implementation Method 1

a drive motor, configured to assist the power of the engine and to selectively operate as a generator to generate electrical energy

Methodology Applied
Scientific EffectElectromagnetic induction: Electromagnetic Induction

Implementation Method 2

a battery configured to supply electrical energy to the drive motor or to be charged by the electrical energy generated by the drive motor

Methodology Applied
Scientific EffectElectrical energy storage: Battery (electricity)

Implementation Method 3

an electric supercharger configured to be installed in an intake line in which an intake air supplied to a combustion chamber of the engine flows

Methodology Applied
Scientific EffectElectrical compression: Gas Compressor

Data Source

PatentUS20250002001A1Apparatus for controlling hybrid vehicle and method using the same
Publication Date: 2025.01.02 KIA CORPORATION
  • US20250002001A1 patent drawing
  • US20250002001A1 patent drawing
  • US20250002001A1 patent drawing

AI summary

An apparatus for controlling a hybrid vehicle includes an engine; a drive motor; a battery; an electric supercharger configured to be installed in an intake line in which an intake air supplied to a combustion chamber of the engine flows; a navigation device configure to calculate a driving path from a starting point to a destination point and driving information; a controller configure to calculate a driving load from the driving path and the driving information calculated by the navigation device, determine an optimal SOC (state of charge) for each section from the starting point to destination point based on the driving load, determine a driving mode of the vehicle based on a required torque of driver and a driving mode of the battery to follow the optimal SOC for each section, and adjust an operating point of the engine.