Wireless Sensor Power Management via Dynamic Duty Cycle
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Solution Overview
Problem
Conventional energy management systems for wireless sensors are inefficient in adapting to varying operating temperatures and loads, leading to reduced battery life and increased internal resistance, which affects the discharge rate and energy storage capacity, especially in low-temperature conditions.
Innovation Solution
A hybrid power source system that dynamically adjusts the duty cycle and operating state of wireless sensors based on temperature and load conditions, using a self-configuring micro-sensor architecture with a current buffer and a primary cell, to optimize energy usage and extend battery life by reducing current draw and frequency of transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Duration of action of stationary object
If conventional energy management systems are used in wireless sensors, then the system structure is simple, but the battery life is reduced and internal resistance increases at varying temperatures and loads
Solution Approach 1:
The energy management system dynamically adjusts the duty cycle of the wireless sensor based on real-time temperature and load conditions. The system transitions from static to dynamic operation by modifying transmission frequency and power consumption levels according to environmental parameters, thereby optimizing battery life across varying operating conditions.
Solution Approach 2:
The system changes operational parameters (duty cycle, transmission power, sampling frequency) in response to temperature and load variations. By adjusting these parameters dynamically, the system adapts to different operating conditions and prevents excessive battery drain that would occur with fixed parameter operation.
2Reliability
If the wireless sensor operates at high power to maintain functionality, then the transmission quality is improved, but the energy consumption increases and battery life decreases
Solution Approach 1:
The system applies partial action by operating the wireless sensor at reduced power levels (lower duty cycle) under certain conditions rather than maintaining full power operation continuously. This partial operation maintains sufficient sensor functionality while significantly reducing energy consumption and extending battery life.
Solution Approach 2:
The system uses periodic transmission instead of continuous operation, adjusting the duty cycle to transmit data at optimized intervals. This periodic action maintains sensor functionality while reducing average power consumption, as the sensor remains operational but transmits only when necessary based on energy availability and data priority.
3Temperature
If the wireless sensor operates in low-temperature conditions, then the sensor can function in harsh environments, but the internal resistance increases and discharge rate decreases
Solution Approach 1:
The system detects temperature changes and adjusts operational parameters accordingly. In low-temperature conditions, the system modifies the duty cycle and transmission power to compensate for increased internal resistance and reduced discharge rate, thereby maintaining sensor functionality across a wide temperature range.
Solution Approach 2:
The energy management system incorporates temperature sensing and uses this feedback to dynamically adjust its operation. By continuously monitoring temperature and adapting the duty cycle based on this feedback, the system compensates for the negative effects of low-temperature operation on battery performance.
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
The power management scheme significantly extends the operating life of wireless sensors by reducing energy consumption, avoiding voltage brownouts, and maintaining functionality even at low temperatures, as demonstrated by test results showing delayed voltage droop and increased battery life.
Implementation Method 1
When an energy source is provided by a one-time battery charge, the electrochemical reactions and internal cell construction of the energy source may determine an energy budget and a discharge rate.
Implementation Method 2
A hybrid power source system that dynamically adjusts the duty cycle and operating state of wireless sensors based on temperature and load conditions, using a self-configuring micro-sensor architecture with a current buffer and a primary cell
Data Source
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AI summary
A system and method manages power in a wireless micro-sensor having a self-contained energy source. The system and method identify the rated capacity of the self-contained energy course by processing an identification value of the self-contained energy source and measuring the temperature of the self-contained energy source over time. The system and method determine temperature trends, measure the depth of discharge of the self-contained energy source, and control the asynchronous transmission of the micro-sensor. The transmission occurs in response to the measured temperatures, the determined temperature trend, and the depth of discharge of the self-contained energy source.