EV Route Search Using Battery State and Charger Output Matching

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Solution Overview

Problem

Existing navigation systems do not consider the state of a vehicle's battery and the output of charging stations when searching for routes, leading to potentially lengthy charging times due to mismatched battery and charger capabilities.

Innovation Solution

A route search device that includes a route search unit, station search unit, calculation unit, and recommended station extraction unit to determine suitable charging stations based on the vehicle's battery state and charger output, recommending low- or high-output chargers accordingly.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of time

If a navigation system searches for routes without considering battery state and charger output, then the route search is simple and fast, but the charging time becomes relatively long due to mismatched battery and charger capabilities

Engineering Contradiction:
Improvecharging timeVSAvoidroute search system complexity
Core Design Contradiction:
Loss of timeVSDevice complexity

Solution Approach 1:

The system performs preliminary calculations of predicted battery states at each charging station before the vehicle arrives. The calculation unit computes future battery states based on current battery state and route information in advance, allowing the recommended station extraction unit to identify suitable charging stations ahead of time, thereby optimizing charging time without adding operational complexity

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system uses the vehicle's own battery state information and route data to automatically determine suitable charging stations. The calculation unit leverages existing battery state measurements and route information to predict future battery states, enabling the system to self-optimize charging station selection without requiring external intervention or complex additional infrastructure

Inventive Principle:
Principle #25Self-service

2Productivity

If the system calculates predicted battery states and matches them with charger outputs, then charging efficiency is optimized, but the calculation and processing requirements increase

Engineering Contradiction:
Improvecharging efficiencyVSAvoidcalculation and processing complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The system applies different processing levels to different charging stations based on local conditions. The calculation unit computes predicted battery states for each charging station along the route, and the recommended station extraction unit identifies only those stations where the battery state and charger output are well-matched. This localized optimization approach improves charging efficiency without requiring complex processing for all possible stations

Inventive Principle:
Principle #3Local quality

Solution Approach 2:

The system changes the parameter of battery state from a static current value to a dynamic predicted future state. The calculation unit transforms current battery state measurements into predicted future battery states at each charging station based on route information. This parameter transformation enables efficient matching with charger outputs while maintaining manageable calculation requirements through systematic computation

Inventive Principle:
Principle #35Parameter changes

3Measurement precision

If the system extracts recommended charging stations based on battery state and charger output combinations, then the accuracy of charging station selection is improved, but the information processing requirements increase

Engineering Contradiction:
Improvecharging station selection accuracyVSAvoidinformation processing volume
Core Design Contradiction:
Measurement precisionVSQuantity of substance

Solution Approach 1:

The system extracts only the essential information needed for charging station selection from the available data. The recommended station extraction unit identifies and extracts charging stations where the predicted battery state and charger output are optimally matched, filtering out unnecessary information. This extraction approach improves selection accuracy while minimizing information processing volume by focusing only on relevant matching criteria

Inventive Principle:
Principle #2Taking out (Extraction)

Data Source

PatentUS12553730B2Route search device
Publication Date: 2026.02.17 TOYOTA JIDOSHA KK
  • US12553730B2 patent drawing
  • US12553730B2 patent drawing
  • US12553730B2 patent drawing

AI summary

A route search device includes: a route search unit that searches for a route for a vehicle that runs on power of a rechargeable battery to reach a destination; a station search unit that searches for a plurality of charging stations that is geographically available to the vehicle based on the searched route, and acquires output information of chargers installed in each of the charging stations; a calculation unit that calculates, for each of the searched charging stations, a predicted value indicating a future state of the battery when the vehicle reaches the charging station, based on a current state of the battery and a route from a current location of the vehicle to the charging station; and a recommended station extraction unit that extracts a recommended station from the searched charging stations, based on combinations of the predicted values of the battery and the output information of the chargers.