Electric Vehicle Battery Recharging Optimization Method

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Solution Overview

Problem

Current methods for recharging electric vehicle batteries either favor early applicants or distribute energy without commitment on quantity, failing to optimize battery lifespan and energy usage, especially considering variable electricity costs and vehicle availability.

Innovation Solution

A method that calculates an optimal battery load for each vehicle based on desired autonomy, classifies routes by desired autonomy, and selects vehicles with the smallest aging indicator to perform routes, optimizing battery lifespan and energy usage by positioning recharging during low-cost time slots.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If vehicles are recharged to maximum capacity to ensure continuous availability, then fleet operational availability is improved, but battery lifespan deteriorates due to frequent high charge states

Engineering Contradiction:
Improvefleet operational availabilityVSAvoidbattery lifespan
Core Design Contradiction:
ReliabilityVSDuration of action of stationary object

Solution Approach 1:

The patent changes the parameter of charge state by implementing dynamic charge thresholds (minimum 20%, maximum 80%) instead of always charging to 100%. This parameter optimization allows the fleet to maintain operational availability while reducing battery stress and extending lifespan by avoiding extreme charge states.

Inventive Principle:
Principle #35Parameter changes

Solution Approach 2:

The system dynamically adjusts charging strategies based on real-time conditions including battery state of charge, state of health, route requirements, and electricity pricing. This dynamic approach optimizes both fleet availability and battery lifespan by adapting charge levels to specific operational needs rather than using fixed maximum charging.

Inventive Principle:
Principle #15Dynamics

2Use of energy by moving object

If recharging is performed during low-cost time slots to reduce electricity bills, then energy cost is improved, but fleet availability may deteriorate if charging time conflicts with operational schedules

Engineering Contradiction:
Improveenergy costVSAvoidfleet availability
Core Design Contradiction:
Use of energy by moving objectVSReliability

Solution Approach 1:

The system performs preliminary planning by pre-calculating optimal charging schedules that align low-cost time slots with fleet operational requirements. Routes are classified by energy consumption, and charging is scheduled in advance during off-peak hours when electricity costs are lower, ensuring both cost savings and fleet availability are maintained.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system uses feedback from battery state monitoring, route energy consumption data, and electricity pricing information to continuously optimize charging schedules. This feedback mechanism ensures that low-cost charging opportunities are captured without compromising fleet availability by adjusting schedules based on actual operational needs.

Inventive Principle:
Principle #23Feedback

3Duration of action of stationary object

If battery charge and discharge cycles are minimized to extend lifespan, then battery durability is improved, but operational flexibility deteriorates

Engineering Contradiction:
Improvebattery durabilityVSAvoidoperational flexibility
Core Design Contradiction:
Duration of action of stationary objectVSAdaptability or versatility

Solution Approach 1:

The patent optimizes charge-discharge parameters by maintaining battery state of charge within the 20-80% range and minimizing deep cycling. This parameter control extends battery durability while the system maintains operational flexibility by strategically planning routes and charging schedules to reduce unnecessary charge-discharge cycles.

Inventive Principle:
Principle #35Parameter changes

Data Source

PatentEP2767431B1Method for optimising the recharging energy and durability of electric batteries
Publication Date: 2015.12.23 SCHNEIDER ELECTRIC IND SAS
  • EP2767431B1 patent drawingFigure 1
  • EP2767431B1 patent drawingFigure 2~4
  • EP2767431B1 patent drawingFigure 5~7

AI summary

The invention relates to a method for optimizing the charging energy and battery life of a fleet of electric vehicles, each of said vehicles being likely to be used to carry out a route of a predefined distance from among a plurality of different routes, the battery of each vehicle having an initial range, a maximum range, a residual range before each route, a state of charge and a state of health likely to evolve over time. This method comprises the following steps: to carry out a given route, - calculate, for each available vehicle, an optimal charge as a function of the desired range and the maximum range and, calculate an indicator representative of the battery aging as a function of said optimal charge and the residual charge at the end of the route and, choose a vehicle having the smallest aging indicator to carry out said route.