EV Trip Energy Decomposition for Driving Loss Attribution

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Solution Overview

Problem

Existing electric vehicles lack a method to decompose and trace trip energy consumption, hindering effective energy saving efforts.

Innovation Solution

An energy consumption decomposition method for electric vehicles that analyzes actual driving data to determine the influence of trip factors and driving behavior on energy consumption, breaking it down into components such as rolling-loss, aerodynamic-loss, braking-loss, ancillary-loss, altitude-change, and HVAC-operation-associated components.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of energy

If energy consumption decomposition is implemented to enable users to understand the influence of trip factors and driving behavior on energy usage, then energy-saving effectiveness is improved, but the complexity of the system increases due to the need for multiple sensors and data processing mechanisms

Engineering Contradiction:
Improveenergy-saving effectivenessVSAvoidsystem complexity
Core Design Contradiction:
Loss of energyVSDevice complexity

Solution Approach 1:

The patent makes the electric vehicle's existing sensors and control units serve multiple functions: not only their original purposes but also energy consumption monitoring and decomposition. The sensors originally designed for vehicle control now dual-function as monitoring devices, eliminating the need for dedicated monitoring hardware and reducing system complexity while enabling comprehensive energy analysis

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

Solution Approach 2:

The control unit of the electric vehicle performs energy consumption decomposition and analysis autonomously using its own computing resources and the data already collected during normal operation. The system self-monitors and self-analyzes without requiring external monitoring equipment, turning the vehicle's existing computational infrastructure toward energy management purposes

Inventive Principle:
Principle #25Self-service

2Measurement precision

If comprehensive energy consumption monitoring is implemented to trace trip energy consumption, then measurement precision is improved, but the difficulty of detecting and measuring increases due to the need for multiple parameters and calculations

Engineering Contradiction:
Improveenergy consumption measurement precisionVSAvoidmeasurement difficulty
Core Design Contradiction:
Measurement precisionVSDifficulty of detecting and measuring

Solution Approach 1:

The control unit is designed to handle multiple functions simultaneously: vehicle control, energy management, and consumption decomposition. By making the control unit multi-functional, the patent avoids adding separate measurement and calculation systems, thereby improving measurement precision without proportionally increasing detection and measurement difficulty

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

Solution Approach 2:

The patent segments energy consumption into distinct components (trip factor-related and driving behavior factor-related) and attributes them to specific sources. This segmentation approach enables precise measurement of each component separately while using a unified data collection framework, making the complex measurement task more manageable through systematic breakdown

Inventive Principle:
Principle #1Segmentation

Data Source

PatentUS12601772B2Energy consumption decomposition method of electric vehicle, analysis method, system, device and medium
Publication Date: 2026.04.14 JILIN UNIVERSITY
  • US12601772B2 patent drawing
  • US12601772B2 patent drawing
  • US12601772B2 patent drawing

AI summary

An energy consumption decomposition method of an electric vehicle, an analysis method, a system, a device and a medium are provided, relating to the technical field of energy consumption monitoring of an electric vehicle. The energy consumption decomposition method includes: acquiring actual driving data of an electric vehicle to be analyzed during a trip; determining the trip energy consumption rate and driving features of the trip according to the actual driving data, where driving features of the trip are influenced by a trip factor and/or a driving behavior factor; and determining an energy consumption decomposition result of the electric vehicle according to driving features and the trip energy consumption rate, where the energy consumption decomposition result at least includes components of the energy consumption rate corresponding to driving features of the trip.