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An oxygen sensor (or lambda sensor, where lambda refers to air–fuel equivalence ratio, usually denoted by λ) or probe or sond, is an electronic device that measures the proportion of oxygen (O 2) in the gas or liquid being analyzed. [1] It was developed by Robert Bosch GmbH during the late 1960s under the supervision of Günter Bauman. [1]
The Lambda coefficient (λ) is obtained from the relationship between air and gasoline involved in combustion of the mixture. It is a measure of the efficiency of the gasoline engine by measuring the percentage of oxygen in the exhaust. When gasoline engines operate with a stoichiometric mixture of 14.7: 1 the value of lambda (λ) is "1".
Air–fuel ratio (AFR) is the mass ratio of air to a solid, liquid, or gaseous fuel present in a combustion process. The combustion may take place in a controlled manner such as in an internal combustion engine or industrial furnace, or may result in an explosion (e.g., a dust explosion).
OBD-II PIDs (On-board diagnostics Parameter IDs) are codes used to request data from a vehicle, used as a diagnostic tool.. SAE standard J1979 defines many OBD-II PIDs. All on-road vehicles and trucks sold in North America are required to support a subset of these codes, primarily for state mandated emissions inspections.
Service / Mode $05 displays the oxygen sensor monitor screen and the test results gathered about the oxygen sensor. There are ten numbers available for diagnostics: $01 Rich-to-Lean O2 sensor threshold voltage; $02 Lean-to-Rich O2 sensor threshold voltage; $03 Low sensor voltage threshold for switch time measurement
A check engine light or malfunction indicator lamp (MIL), is a tell-tale that a computerized engine-management system uses to indicate a malfunction or problem with the vehicle ranging from minor (such as a loose gas cap) to serious (worn spark plugs, engine problems or a faulty oil valve, etc.).
The Lambda2 method consists of several steps. First we define the velocity gradient tensor ; = [], where is the velocity field. The velocity gradient tensor is then decomposed into its symmetric and antisymmetric parts:
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