Crystal Oscillator Startup Tuning for Lower Wake-Up Energy
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Solution Overview
Problem
Conventional crystal oscillators require significant laboratory time and energy to determine optimal startup settings, leading to higher energy consumption and reduced battery life in devices that frequently wake up from sleep mode due to wide margins for varying crystal and operating conditions.
Innovation Solution
An oscillation circuit with a crystal interface, amplifier, memory, timing circuit, and controller that adjusts gain settings and thresholds across multiple phases to minimize startup energy, using an optimization algorithm to determine optimal settings based on measured startup times and energy consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If wide margins are used to account for crystal variations and operating condition variations, then reliability of oscillation is improved, but energy consumption increases and battery life decreases
Solution Approach 1:
The patent applies dynamics by making the crystal amplifier settings adjustable and adaptable rather than fixed. The system dynamically determines optimal startup settings through iterative measurement and adjustment, allowing the amplifier to adapt to specific crystal characteristics and operating conditions. This resolves the contradiction by enabling reliable oscillation with minimized energy consumption through adaptive configuration.
Solution Approach 2:
The patent changes parameters by systematically adjusting amplifier settings (such as gain, bias current, or other control parameters) to find optimal values for each specific crystal and operating condition combination. Through measurement of startup time and energy consumption at different parameter settings, the system identifies the minimum energy configuration that ensures reliable oscillation, thereby resolving the contradiction between reliability and energy consumption.
2Stability of the object's composition
If conventional worst case startup time margins are used, then oscillation stability is improved, but energy consumption increases
Solution Approach 1:
The patent implements feedback by measuring the actual startup time and energy consumption of the crystal oscillator and using this information to adjust amplifier settings. The system monitors oscillation characteristics and iteratively refines the startup configuration to achieve stable oscillation with minimum energy expenditure, resolving the contradiction between stability and energy consumption through closed-loop optimization.
Solution Approach 2:
The patent applies preliminary action by performing startup setting optimization in advance through iterative measurement and adjustment before normal operation begins. The system determines optimal amplifier settings during an initialization phase, ensuring stable oscillation is achieved with minimized energy consumption from the start, rather than using conservative worst-case margins throughout operation.
3Manufacturing precision
If laboratory testing of multiple crystal types is performed to determine optimal settings, then manufacturing precision is improved, but time consumption and complexity increase
Solution Approach 1:
The patent applies self-service by enabling the crystal oscillator system to automatically determine its own optimal startup settings through internal measurement and adjustment mechanisms. Rather than requiring external laboratory testing for each crystal type, the system performs self-characterization and self-optimization during initialization or production testing, significantly reducing the time and complexity while achieving precise startup settings.
Solution Approach 2:
The patent uses feedback to automatically determine optimal startup settings by measuring actual oscillator performance and adjusting amplifier parameters accordingly. This automated feedback-based optimization eliminates the need for extensive manual laboratory testing of multiple crystal types, achieving high manufacturing precision with minimal time consumption and complexity.
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 startup energy consumption by determining optimal settings for crystal oscillators, minimizing energy expenditure and extending battery life in devices that frequently wake up from sleep mode.
Implementation Method 1
A crystal oscillator uses the mechanical resonance of a crystal to create an oscillation signal having a precise frequency
Implementation Method 2
The crystal oscillator also includes a crystal amplifier that provides a 'negative' resistance to cancel the losses of the crystal to establish and maintain oscillation
Data Source
AI summary
An oscillation circuit including a crystal interface for coupling to a crystal, a crystal amplifier that drives the crystal to establish oscillation, a memory, a timing circuit, a level detector that provides an amplitude indication when an oscillation achieves a programmable threshold, and a controller. The controller applies one or more settings including gain and activates the crystal amplifier, measures the startup time, and calculates startup energy. The startup energy is based on a bias current of the crystal amplifier, remaining system current, and the startup time. The settings may include a gain setting of the crystal amplifier and one or more thresholds used by the threshold detector. The controller adjusts the settings for multiple startups, and determines optimal settings for minimizing the startup energy. The memory stores the optimal settings along with robust settings that may be used on a one-time basis in the event of startup failure.