Battery Charging Algorithm for Elevator Energy Recovery
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Solution Overview
Problem
In elevator systems, the inefficiency in energy usage due to overcharging batteries leads to wasted regenerative energy, degrading both standby and running energy efficiency, and affecting overall performance.
Innovation Solution
Implementing a smart charging algorithm that maintains the battery state of charge (SoC) between 70-80% to optimize energy acceptance and storage, using a controller to manage charging based on elevator usage patterns and battery characteristics, and incorporating ultra-capacitors to minimize device costs and enhance energy delivery.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the battery is charged to 100% state of charge to maintain full power availability, then the power supply reliability is improved, but the standby power demand increases and energy efficiency during standby deteriorates
Solution Approach 1:
The patent changes the state of charge parameter from the conventional 100% to a range of 70-80%, optimizing the balance between power availability and energy efficiency. This parameter modification reduces standby power consumption while maintaining sufficient power supply reliability for elevator operation.
Solution Approach 2:
Instead of charging the battery to full capacity (excessive action), the system applies partial charging to reach 70-80% state of charge, which is sufficient for normal elevator operation but avoids the energy waste and degradation associated with overcharging during standby periods.
2Reliability
If the battery is charged to 100% state of charge, then the power availability is improved, but the running energy efficiency deteriorates due to wasted regenerative energy
Solution Approach 1:
The patent modifies the battery state of charge parameter from 100% to 70-80%, creating optimal conditions for accepting and storing regenerative energy during elevator operation. This parameter change enables more effective energy recovery and reduces waste of regenerative energy during running phases.
Solution Approach 2:
The system implements a feedback mechanism that monitors battery state of charge and dynamically adjusts charging strategies. When the battery reaches 70-80% charge, the system modulates charging current to maintain this optimal range, maximizing regenerative energy capture while preventing overcharge conditions that would waste energy.
3Reliability
If the battery is charged to 100% state of charge, then the standby power demand increases, but the device complexity remains the same
Solution Approach 1:
The patent optimizes the battery state of charge parameter to 70-80% for standby conditions, reducing the power demand during stationary periods while maintaining sufficient charge for reliable operation. This parameter optimization directly addresses the contradiction between power readiness and standby energy consumption.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach reduces energy wastage by optimizing battery charging, improving energy efficiency during both standby and operational phases, and prolonging battery life while minimizing device costs.
Implementation Method 1
The battery 102 may be a lead acid battery. The battery 102 may be charged by a charger 108.
Implementation Method 2
incorporating ultra-capacitors to minimize device costs and enhance energy delivery
Data Source
Figure 1A
Figure 1B~2
Figure 3
AI summary
Embodiments are directed to recovering energy associated with the operation of an elevator, by: determining, by a processing device, a battery charging current, estimating a state of charge (SoC) of at least one battery based on charging current acceptance capability, and causing, by the processing device, a charging of the at least one battery to within a threshold amount of 100% of SoC to recover energy associated with elevator operation.