Hybrid Operating Strategy Using Navigation Data for Battery Management

Solution Overview

Problem

Conventional hybrid vehicles do not effectively utilize navigation data and traffic information to manage battery charging, leading to insufficient battery charge at times when it is most needed, such as during low-speed driving or in traffic jams.

Innovation Solution

An intelligent hybrid operating system that uses navigation data and traffic information to predict low-speed portions of the vehicle's route and prioritize electric driving, defining 'electric radii' around points of interest for charging and 'inner radii' for exclusive electric driving, thereby ensuring batteries are fully charged when needed.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If conventional battery charging control schemes are used (recharging when battery charge falls below preset value or when vehicle is moving at high speed), then the hybrid operating system can maintain basic battery charge levels, but the batteries will not be fully charged at times and locations where it would be most beneficial (such as during low-speed driving or in traffic jams)

Engineering Contradiction:

Improvebattery charge availabilityVSAvoidtime to recharge batteries

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The system performs preliminary charging actions by predicting future low-speed portions of the route using navigation data and traffic information. The hybrid operating strategy module identifies upcoming traffic jams, construction zones, or other low-speed conditions ahead and initiates battery recharging before the vehicle actually enters these conditions, ensuring full battery charge is available when needed without requiring external recharging stops

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system continuously monitors battery charge levels, vehicle speed, location, and predicted route conditions. The hybrid operating strategy module uses this feedback loop to dynamically adjust charging decisions, comparing actual battery charge against predicted future needs based on navigation and traffic data, and modifying recharging timing to optimize battery availability for electric driving opportunities

Inventive Principle:

Principle #23Feedback

2Productivity

If the vehicle uses internal combustion engine for propulsion during normal driving, then the vehicle can maintain adequate battery charge levels, but the batteries remain insufficiently charged when low-speed electric driving conditions are encountered

Engineering Contradiction:

Improvevehicle propulsion efficiencyVSAvoidelectric driving readiness

Core Design Contradiction:

ProductivityVSReliability

Solution Approach 1:

The system switches to electric propulsion in advance by predicting upcoming low-speed portions of the route. The hybrid operating strategy module identifies future traffic jams, construction zones, or urban driving segments using navigation and traffic data, and switches to electric mode before the vehicle enters these conditions, ensuring full battery charge is available when electric driving is most beneficial

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system dynamically changes the hybrid operating parameters (propulsion mode selection, battery charge thresholds) based on predicted route conditions. The hybrid operating strategy module adjusts charging and propulsion strategies in response to navigation data and traffic information, changing operational parameters to optimize for upcoming low-speed conditions where electric driving provides maximum benefit

Inventive Principle:

Principle #35Parameter changes

3Object-generated harmful factors

If the vehicle prioritizes electric driving without considering navigation data, then the vehicle can reduce emissions during electric operation, but the batteries may be depleted before reaching points where electric driving would be most beneficial

Engineering Contradiction:

ImproveemissionsVSAvoidtime to recharge batteries

Core Design Contradiction:

Object-generated harmful factorsVSLoss of time

Solution Approach 1:

The system performs preliminary charging actions by predicting future low-speed portions of the route using navigation data and traffic information. The hybrid operating strategy module identifies upcoming traffic jams, construction zones, or other low-speed conditions ahead and initiates battery recharging before the vehicle actually enters these conditions, ensuring full battery charge is available when needed without requiring external recharging stops

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system continuously monitors battery charge levels, vehicle speed, location, and predicted route conditions. The hybrid operating strategy module uses this feedback loop to dynamically adjust charging decisions, comparing actual battery charge against predicted future needs based on navigation and traffic data, and modifying recharging timing to optimize battery availability for electric driving opportunities

Inventive Principle:

Principle #23Feedback

Data Source

PatentUS8849485B2Utilization of navigation information for intelligent hybrid operating strategy

Publication Date: 2014.09.30 BAYERISCHE MOTOREN WERKE AG

AI summary

A system for operating an hybrid vehicle is described. The system includes an hybrid operating strategy module for controlling hybrid operating functions of the vehicle based on input data, a navigation system providing vehicle routing input data to the hybrid operating strategy module, and a traffic information system providing traffic information input data to the hybrid operating strategy module. The hybrid operating strategy module determines electric portions of the vehicle route for charging batteries of the vehicle and inner portions of the vehicle route for prioritizing electric driving.