12 results about "Nernst equation" patented technology

The invention relates to the technical field of industrial process control, and discloses an intelligent optimization control method of an alkaline water hydrogen production system, which comprises the following steps: a controller synchronously acquires real-time voltage, current and temperature data of an electrolytic bath; theoretical reversible voltage is calculated according to a Nernst equation, ohm voltage drop is eliminated, and a bubble additional impedance value representing the bubble coverage degree is analyzed; performing differential processing on the change rate of the bubble additional impedance value to generate a flow feed-forward control instruction, combining a feedback control instruction based on temperature deviation to synthesize a target rotating speed instruction, and driving an alkali liquor circulating pump to adjust the flow speed; according to the method, the bubble impedance observation model is constructed, so that zero-delay sensing and decoupling control over the state of bubbles in the electrolytic cell are achieved, hysteresis of single temperature feedback is eliminated, and the problems of actuator saturation and model aging drifting are solved.

The invention discloses a non-intrusive sewage pH measuring method based on an electrical impedance tomography technology, which comprises the following steps of: based on an electromagnetic field theory, acquiring a sewage boundary electric signal through the electrical impedance tomography technology, establishing theoretical correlation between pH and electrode potential by combining a Nernst equation, constructing a constitutive equation, and finally, inverting a pH value by measuring the boundary electric signal, so as to measure the pH value of the sewage. Therefore, a measurement mode which does not need to intrude into a pipeline and avoids pollution and interference is realized, the defects that a traditional electrode is fragile and difficult to miniaturize, and an optical fiber sensor is easily disturbed by the environment and is complex in high-precision assembly are overcome, the influence of the complex environment of a water body is avoided, and the measurement and calculation precision of the pH is improved.

The application relates to the technical field of electrochemical detection, and specifically discloses an ammonium sulfate PH calculation method based on an electrochemical principle and a temperature compensation technology, which comprises the following steps: collecting a non-standard state electrode potential signal and an NTC thermistor real-time resistance signal of an ammonium sulfate solution to be measured; using an improved temperature fitting algorithm based on a temperature-resistance nonlinear relationship and an optimized fitting process to convert an actual thermodynamic temperature of the solution; combining the actual thermodynamic temperature to compensate the non-standard state electrode potential signal, eliminating the interference of temperature change on the potential measurement; and substituting the compensated electrode potential value and the thermodynamic temperature into a simplified expression of the Nernst equation to inversely solve the hydrogen ion concentration, and then obtaining the final PH value of the ammonium sulfate solution through negative logarithm operation. The method optimizes the temperature fitting precision and the electrode potential compensation adaptability, and improves the PH measurement deviation problem of the ammonium sulfate solution.

The application discloses a battery state prediction method and system based on a continuous time thermal coupling mechanism, comprising: high-frequency acquisition of multi-dimensional physical and environmental data to construct a state space vector; taking the state space vector as input, a continuous time Markov chain model is established to deduce a device running state sequence, which is mapped into radio frequency power consumption containing a radio resource control tail state and superimposed, and transient total power demand spectrum is output; based on an electrochemical model, dynamic load current is calculated, ohmic internal resistance and open circuit voltage source are determined through Arrhenius equation and Shepherd-Nernst equation, and terminal voltage and state of charge are updated; based on a two-node heat transfer dynamics model, battery temperature and shell temperature are updated, and an electro-thermal closed loop feedback is formed; boundary determination is performed according to terminal voltage and shell temperature, risk prediction and active thermal regulation are performed, and remaining endurance time and its probability distribution are output. The application realizes accurate prediction and active management under extreme working conditions.

[Problem] To provide a method and a device for obtaining the redox state of an aqueous solution as a hydrogen electrode potential. [Solution] The hydrogen electrode potential of an aqueous solution is defined using the Nernst equation. Comprises: a step for measuring the hydrogen partial pressure and temperature of a gas phase in an equilibrium state with an aqueous solution, and the pH of the aqueous solution; and a step of analyzing the hydrogen electrode potential on the basis of the measured antilogarithm pH 2 of the hydrogen partial pressure and the temperature and pH. For example, at room temperature of 25 DEG C (T = 298.15 K) and pH = 7.0, the hydrogen electrode potential can be determined from [number 32] and an approximation equation. When the pH is constant, the change in the hydrogen electrode potential of the aqueous solution can be determined from [number 33] and an approximation equation.

The invention relates to a lithium battery health state estimation method and system based on relaxation voltage, and the method comprises the steps: determining relaxation estimation voltage data based on voltage response data, a preset solid-phase diffusion model and a preset electrochemical model; performing Radon transformation on the heat dissipation information, the structure information and the appearance image, and performing multi-domain alignment with the current change information, the first temperature information, the second temperature information, the humidity information and the relaxation estimation voltage data based on the same time axis to generate a state characteristic matrix of the lithium battery; performing convex optimization solution on the state characteristic matrix based on a Nernst equation as a constraint to obtain a health state value attenuation rate value of the lithium battery; generating a relaxation voltage curve based on the state characteristic matrix and the health state value attenuation rate value; and substituting the relaxation voltage curve into a preset deep learning analysis model, and combining historical cycle data and historical environment working condition data of the lithium battery to generate a health state estimation value of the lithium battery.

The invention discloses an SOC and SOH joint estimation method for a new energy vehicle, and the method comprises the steps: building an SOC-OCV physical model through a Nernst equation, and carrying out the initialization of a battery system, so as to load the inherent parameters of a battery; the high-frequency cycle process of the battery is synchronized with the main control period of a battery management system (BMS), and SOC and internal resistance tracking is carried out in the high-frequency cycle process so as to carry out SOC calculation and correction; and setting a specific condition triggered by the low-frequency cycle process of the battery, and carrying out capacity calibration and SOH updating in the low-frequency cycle process of the battery so as to update and obtain the actual available capacity and the capacity health state of the current battery. According to the method, the SOC and the SOH can be simultaneously estimated in an online, real-time and high-precision manner, and the method has high robustness for noise measurement and model uncertainty.

The application provides a method and device for determining output voltage of a second-order equivalent circuit model. The method comprises: determining a target open-circuit voltage value of the second-order equivalent circuit model based on an initial open-circuit voltage value of the second-order equivalent circuit model corresponding to a target battery, an electrode reaction concentration ratio of the target battery, a temperature of the target battery at a current time, and a preset Nernst equation; determining a target ohmic internal resistance value of the second-order equivalent circuit model and a target ohmic voltage value corresponding to the target ohmic internal resistance value; and determining an output voltage of the second-order equivalent circuit model at the current time based on the target open-circuit voltage value, the target ohmic voltage value, a first voltage value of a first RC circuit in the second-order equivalent circuit model, and a second voltage value of a second RC circuit in the second-order equivalent circuit model. The application solves the problem of inaccurate model parameters of a traditional lithium-ion battery caused by temperature changes, thereby improving the accuracy of the model.

The invention provides a method and system for detecting fluorine ions in water, and relates to the technical field of ion detection.The method comprises the steps that time-aligned multi-dimensional data streams are collected through a multi-modal sensor, a physical time sequence neural network embedded with a Nernst equation and ion interference dynamics constraints is constructed, and a fluorine ion detection result is obtained; learning space-time correlation and outputting an interference compensation vector, and calculating a concentration value in combination with multi-factor coupling compensation; meanwhile, a calibration utility model is constructed based on the model confidence coefficient, the sensor state and the environment fluctuation, calibration is dynamically triggered, and the model and Nernst mechanism parameters are updated in a linkage mode. The influence by factors such as water pH fluctuation, temperature change and interference ions is easily caused.

Provided are a battery discharge device and a battery discharge method using same to define a current energy state of a battery using the Nernst equation, and lower the current energy state of the battery to an optimal range facilitating crushing, thereby enabling safer and more rapid battery crushing. A battery discharge device according to one aspect of the present invention comprises: a battery state determination unit configured to determine an energy state of a battery based on the Nernst equation; a battery diagnosis unit configured to diagnose whether the battery is in a crushable energy state according to the determined energy state of the battery; and a battery energy adjustment unit configured to adjust energy of the battery according to a diagnosis result of whether the battery is in the crushable energy state.

The application provides an ammonia nitrogen sensor background ion interference dynamic error compensation algorithm and a water quality monitoring system to solve the problems of background ion false positive interference in ammonia nitrogen ion selective electrode monitoring and high cost and difficult maintenance of a traditional compensation scheme. The method obtains water body potential, conductivity and other variables in real time, uses an interference model containing a conductivity and temperature related interference term and an adaptive threshold value determination interference model, calculates an interference potential increment and corrects the potential, and then substitutes the potential into a Nernst equation to solve the ammonia nitrogen concentration. The application does not need to add a special interference ion electrode, simplifies the structure, reduces the cost, adapts to complex water bodies, and improves the measurement accuracy.

In the formula for the redox potential E based on the Nernst equation, with the temperature set at 37℃ (310K), the redox potential E of hydrogen / hydrogen ions is E = -0.061 × pH + 0.031 × pH² (V). At pH = 7.4, E = -0.451 + 0.031 × pH² (V). The hydrogen index pH² of the test subject is measured, and E is calculated using the above formula. According to the potential verification method of the present invention, by blowing air and air containing hydrogen into phosphate buffer, measuring the potential before and after blowing, performing necessary corrections, and obtaining a linear regression line, the change in potential accompanying the change in hydrogen index pH² can be confirmed. It can be seen that the calculated redox potential is approximately the same as the actual redox potential.