Autonomous EV Battery Current Control Using Internal Resistance

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Solution Overview

Problem

Current electric vehicles lack an integrated energy management system that effectively adjusts battery output current based on changes in driving environment and conditions, leading to inefficient energy consumption and increased emissions.

Innovation Solution

A computing system is developed that includes an autonomous driving controller and an energy management unit. The energy management unit determines changes in battery internal resistance based on driving and battery data, and adjusts the battery output current accordingly to optimize energy efficiency.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If battery output current is set conservatively to a very high level without considering energy loss, then the system ensures sufficient power supply under all conditions, but energy consumption increases and efficiency decreases

Engineering Contradiction:
Improvepower supply sufficiencyVSAvoidenergy consumption
Core Design Contradiction:
ReliabilityVSLoss of energy

Solution Approach 1:

The patent implements dynamic adjustment of battery output current based on real-time driving conditions and predicted energy loss. The energy management unit continuously monitors driving environment changes and modifies the output current accordingly, transitioning from a static conservative setting to a dynamic optimized setting that adapts to actual needs.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The system performs preliminary prediction of energy loss based on driving environment changes before actually executing power delivery. By predicting future energy requirements and losses in advance, the system can pre-adjust the battery output current to optimal levels, avoiding both excessive conservative settings and insufficient power supply.

Inventive Principle:
Principle #10Preliminary action

2Adaptability or versatility

If battery output current is adjusted ex post facto after driving environment changes, then the system responds to actual conditions, but energy loss occurs during the adjustment delay

Engineering Contradiction:
Improveresponse to driving conditionsVSAvoidenergy loss during adjustment
Core Design Contradiction:
Adaptability or versatilityVSLoss of energy

Solution Approach 1:

The energy management unit predicts driving environment changes and energy loss before they fully manifest. By performing preliminary assessment and adjustment based on predicted conditions rather than waiting for actual changes to occur, the system eliminates the delay between environmental change and power adjustment, preventing energy loss during transition.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system establishes a continuous feedback loop where the energy management unit monitors driving conditions, predicts energy loss, adjusts battery output current, and verifies the effectiveness of adjustments. This closed-loop feedback mechanism ensures real-time adaptation to driving environment changes without energy-wasting delays.

Inventive Principle:
Principle #23Feedback

3Device complexity

If the autonomous driving controller operates independently without energy management integration, then autonomous driving control is simplified, but energy efficiency deteriorates due to lack of coordinated optimization

Engineering Contradiction:
Improvecontrol system structureVSAvoidenergy efficiency
Core Design Contradiction:
Device complexityVSLoss of energy

Solution Approach 1:

The patent merges the autonomous driving controller with the energy management unit into an integrated system. The energy management unit is positioned to receive driving control information from the autonomous driving controller and provide feedback, creating a unified architecture that coordinates power delivery with driving decisions, thereby improving energy efficiency without significantly increasing perceived system complexity.

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The integrated system serves multiple functions simultaneously: the energy management unit not only manages battery power but also receives and responds to autonomous driving control signals, predicting energy loss based on driving environment changes. This multi-functional integration allows a single system to handle both autonomous driving control and energy optimization tasks.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Data Source

PatentUS20250178477A1Systems and Methods for Providing Energy Management Service Linked with Autonomous Driving
Publication Date: 2025.06.05 LG ENERGY SOLUTION LTD
  • US20250178477A1 patent drawing
  • US20250178477A1 patent drawing
  • US20250178477A1 patent drawing

AI summary

A computing system according to at least one embodiment disclosed herein includes an autonomous driving controller that controls autonomous driving of a vehicle, and an energy management unit that provides a service related to energy management of the vehicle. The autonomous driving controller may set an output of a driving system included in the vehicle. The energy management unit may determine a change in an internal resistance of a battery based on driving data of the vehicle and battery data of the battery included in the vehicle, and sets an output current of the battery for the set output based of the driving system based on the determined change in the internal resistance.