Energy Assist System Selection Supporting Apparatus
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Solution Overview
Problem
Existing technologies for selecting energy assist systems require repetitive and complex user input, often leading to inefficient selection processes due to the need for trial and error, and fail to accurately account for performance limits and electronic machine configurations, resulting in suboptimal capacitor bank operations and inaccurate energy calculations.
Innovation Solution
An energy assist system selection supporting apparatus that includes an operation-pattern generating section, a load-pattern generating section, a data processing section, and a layout section to generate operation patterns, load patterns, evaluate system characteristics, and arrange units on a virtual space, ensuring they fit within specified limits.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the user manually determines and inputs the number of elements used in the system, then the system can be configured according to user requirements, but the selection process becomes repetitive and inefficient due to trial and error
Solution Approach 1:
The selection apparatus automatically determines the number of capacitor banks and other system elements based on input operating conditions and machine requirements, eliminating the need for manual trial-and-error configuration. The system performs self-calibration by calculating optimal element counts through integrated computations of load patterns, operating hours, and performance specifications.
Solution Approach 2:
The apparatus pre-calculates the optimal number of system elements before final system configuration is established. By performing preliminary computations of required capacitor bank quantities, switching element counts, and reactor specifications based on anticipated operating conditions, the system eliminates subsequent iterative adjustments and manual reconfiguration.
2Ease of manufacture
If the design supporting apparatus for capacitor power supply is applied to energy assist system selection, then capacitor bank configuration can be calculated, but limit values of switching elements and reactors are not taken into account, leading to potential operational failures
Solution Approach 1:
The selection apparatus incorporates feedback mechanisms that continuously monitor and evaluate whether calculated system configurations satisfy all performance limit values. The system compares computed operating parameters against predefined thresholds for switching elements, reactors, and capacitor banks, and automatically adjusts configurations to ensure all limits are satisfied, preventing operational failures.
Solution Approach 2:
The apparatus performs preliminary verification of configuration validity before final system establishment. By pre-checking whether calculated numbers of capacitor banks, switching elements, and reactors satisfy all performance limits and operational requirements, the system prevents configuration errors that would lead to charging/discharging failures or component damage.
3Device complexity
If a simple shaft output calculation method is used for electric motor control apparatus selection, then the selection process is simplified, but accurate energy calculation and capacity selection for complex operation patterns including electronic machine configurations cannot be performed
Solution Approach 1:
The selection apparatus segments the energy calculation process into distinct computational stages: first calculating basic shaft output from motor parameters, then separately computing energy consumption components for each electronic machine element (capacitor banks, switching elements, reactors, converters). This segmented approach maintains computational manageability while achieving high precision by accounting for all energy losses and consumption sources in complex operation patterns.
4Ease of operation
If repetitive input work is required for determining the number of elements, then user control over system configuration is maintained, but the selection process becomes time-consuming and efficiency deteriorates
Solution Approach 1:
The selection apparatus performs automatic determination of all system element quantities based on user-provided operating conditions and machine specifications. The system self-calculates optimal numbers of capacitor banks, switching elements, reactors, and converters without requiring iterative manual input, thereby eliminating time-consuming repetitive operations while preserving user control through initial parameter specification and final configuration review.
Data Source
AI summary
An energy assist system selection supporting apparatus equipped with a step-up/step-down chopper unit, an electricity storage unit, and an electric motor configured to drive a machine includes an operation-pattern generating section for generating an operation pattern taking into account an electronic machine configuration, a load-pattern generating section for generating a load pattern concerning power consumption according to the generated operation pattern, a data processing section for evaluating, according to the generated load pattern, a characteristic of the energy assist system applied with the generated operation pattern while comparing the characteristic with a limit value and generate, according to an evaluation result, configuration information including the number of each unit of the energy assist system, and a layout section configured to lay out and arrange the units on a virtual space and display the units on a display screen according to the generated configuration information.