Autonomous Driving Processor for EV Battery Energy Management

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Solution Overview

Problem

Existing electric vehicles (EVs) lack an efficient energy management function, which limits their ability to optimize energy use and reduce greenhouse gas emissions during autonomous driving.

Innovation Solution

An autonomous driving platform with at least one processor coupled to a vehicle's battery, capable of obtaining battery state information and processing energy management calculations to optimize energy use and improve overall energy efficiency.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If energy management calculations are processed only by the battery management system (BMS), then the BMS processing load is minimized, but the energy management function is insufficient and cannot handle advanced energy management requirements

Engineering Contradiction:

Improveenergy management function capabilityVSAvoidprocessing system structure

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent merges the energy management calculation functions with the autonomous driving platform's processor, creating an integrated system where the same processor handles both autonomous driving calculations and energy management calculations, thereby enhancing energy management capability without adding separate dedicated hardware

Inventive Principle:

Principle #5Merging (Combining)

Solution Approach 2:

The autonomous driving platform's processor is designed to perform multiple functions including both autonomous driving control calculations and energy management calculations, making it a universal processing unit that adapts to different computational tasks based on system requirements

Inventive Principle:

Principle #6Universality (Multi-functionality)

2Adaptability or versatility

If the autonomous driving platform processes all energy management calculations, then energy management capability is maximized, but the processing capability for autonomous driving may be affected

Engineering Contradiction:

Improveenergy management calculation capabilityVSAvoidautonomous driving control reliability

Core Design Contradiction:

Adaptability or versatilityVSReliability

Solution Approach 1:

The system dynamically adjusts the distribution of calculation tasks between autonomous driving functions and energy management functions based on real-time system state, battery state information, and computational requirements, ensuring that autonomous driving reliability is maintained while enabling comprehensive energy management

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The system uses battery state information as feedback to adjust energy management calculation intensity and priority, ensuring that autonomous driving operations are not compromised while optimizing energy management based on actual battery conditions

Inventive Principle:

Principle #23Feedback

3Use of energy by moving object

If advanced energy management functions are implemented, then energy efficiency is improved, but the processing load on the system increases

Engineering Contradiction:

Improvevehicle energy efficiencyVSAvoidcalculation processing efficiency

Core Design Contradiction:

Use of energy by moving objectVSProductivity

Solution Approach 1:

The patent segments energy management calculations into different portions that can be processed at different times and with different computational intensities, allowing the system to handle complex energy management tasks without overwhelming the processor and maintaining overall system responsiveness

Inventive Principle:

Principle #1Segmentation

Data Source

PatentUS20250074390A1Vehicle, Computing System, Operating Method of Computing System and Computer Program

Publication Date: 2025.03.06 LG ENERGY SOLUTION LTD

AI summary

A vehicle includes a battery and a computer system that obtains battery state information related to a state of the battery from the battery, at least partially processes a calculation related to energy management of the vehicle by using the battery state information, and provides the battery with result information obtained by processing the calculation.