METHOD FOR DETERMINING PERFORMANCE DATA WHEN RIDING A BICYCLE AND TWO-WHEEL COMPONENT
20200254307 ยท 2020-08-13
Inventors
- Martin Walthert (Aarberg, CH)
- Simon Hugentobler (Liebefeld, CH)
- Seamus Mullarkey (Tann, CH)
- Jonas Gretar Jonasson (Thalwil, CH)
Cpc classification
G01S19/01
PHYSICS
G01P3/00
PHYSICS
B62J45/4152
PERFORMING OPERATIONS; TRANSPORTING
A63B24/0062
HUMAN NECESSITIES
G01L19/00
PHYSICS
International classification
A63B24/00
HUMAN NECESSITIES
G01C22/00
PHYSICS
G01S19/01
PHYSICS
G01L19/00
PHYSICS
Abstract
A bicycle component and method of determining performance data by capturing and evaluating sensor data while riding an at least partially muscle-powered bicycle (100) on a road, having at least two sensors (20, 35), wherein air pressure signals (21) are captured by a barometric pressure sensor (20) and current gradient values (201) of the path (200) are derived. Track data are captured and a current speed value is captured, and performance data are obtained from the current gradient value (201) and the current speed.
Claims
1. Method of determining performance data by capturing and evaluating sensor data while riding an at least partially muscle-powered bicycle (100) on a path (200), having at least two sensors (20, 35), wherein at least air pressure signals (21) are captured, and wherein the following steps are carried out: capturing at least one current air pressure signal (21) for the ambient pressure, by at least one barometric pressure sensor (20), and deriving a current measure of elevation (23); determining a current gradient value (201) of the path (200) from the captured air pressure signals (21); capturing track data and determining the current speed value; obtaining performance data from the current gradient value (201) and the current speed value.
2. The method according to any of the preceding claims, wherein the current air pressure signal (21) is periodically captured at a frequency of higher than 10 Hz.
3. The method according to any of the preceding claims, wherein an air pressure signal (21) is obtained from a plurality of measurement values picked up by the barometric pressure sensor, and wherein measurement values picked up by the barometric pressure sensor (20) are filtered, and an air pressure signal (21) is derived from the filtered measurement values.
4. The method according to any of the preceding claims, wherein at least one acceleration value is derived.
5. The method according to any of the preceding claims, wherein at least one current elevation signal (36) is derived by way of capturing data from a satellite system (300), and wherein a current elevation value (24) is derived from the current air pressure signal (21), taking into account the current elevation signal (36).
6. The method according to any of the preceding claims, wherein interference signals (29), such as disturbances caused by passing vehicles or wind gusts, are filtered out.
7. The method according to any of the preceding claims, wherein at least one aerodynamic drag coefficient is derived.
8. The method according to any of the three preceding claims, wherein the frequency for capturing the air pressure signals (21) by the barometric pressure sensor (20) is higher than the frequency for capturing the elevation signals (36) from the satellite system (300).
9. The method according to any of the four preceding claims, wherein the capturing times of the air pressure signal (21) and of the elevation signal (36) for deriving an elevation value (24) are matched to one another and/or synchronized.
10. The method according to any of the preceding claims, wherein at least one measuring frequency for capturing signals is variably set by a control device (40).
11. The method according to the preceding claim, wherein the measuring frequency is set in dependence on at least one current riding condition.
12. The method according to any of the preceding claims, wherein the frequency for deriving an elevation value (24) is dependent on the traveling speed of the bicycle (100) and increases along with the traveling speed increasing, or wherein the frequency for deriving an elevation value (24) is dependent on the gradient (201) of the path (200) and/or the acceleration.
13. Bicycle component (1) with a control device (40) and a measuring device (2) for determining performance data by way of capturing and evaluating sensor data when riding an at least partially muscle-powered bicycle (100) on a path (200), with at least two sensors (20, 35), wherein at least one barometric pressure sensor (20) for capturing a characteristic current air pressure signal (21) is comprised, and wherein a computer (50) is comprised which is configured and set up to determine from the captured air pressure signals (21) a current gradient value (201) of the path (200), and to capture track data to determine therefrom a current speed value, and to obtain performance data from the current gradient value (201) and the current speed.
Description
[0073] The figures show in:
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[0087] A bicycle 100 comprises a frame 103, a handlebar 106, a saddle 107 and a fork. A pedal crank 112 with pedals serves for driving. Optionally the pedal crank 112 and/or the wheels may be provided with an electrical auxiliary drive. The hubs of the wheels may be fastened to the frame e.g. by means of a through axle or a quick release.
[0088] The racing bicycle 100 illustrated in
[0089] The bicycle component 1 with the measuring device 2 is directionally fastened to the handlebar 106 and/or the fork. The captured data can be evaluated, stored and processed in the bicycle component 1 or the measuring device 2 of the bicycle component 1 or in a separate (bicycle) computer.
[0090] The bicycle component 1 comprises a measuring device 2 and a housing 3 where one or more measuring probes 4 are disposed. The measuring probe 4 may be configured as a pitot tube and may capture a measure of the stagnation pressure at the front end of the measuring probe 4 or the probe body 5. An internal air guide allows to feed the total pressure to a barometric pressure sensor where it is captured. Taking into account the ambient pressure allows to derive the stagnation pressure. Preferably a differential pressure sensor is used for capturing a pressure difference between the total pressure at the front end and a lateral, local static pressure (local ambient pressure) on the measuring probe 4. It is also possible to use two absolute pressure transducers and to obtain their difference for computing the stagnation pressure.
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[0092] At its front end the probe body 5 shows the outwardly opening 6. Through an air guide 10, which will be discussed in detail below, in the interior of the probe body 5, the opening 6 is connected with the schematically illustrated stagnation pressure sensor system 25. A front view is schematically illustrated on the right next to the bicycle component proper. The round probe body 5 with the central front opening 6 is identifiable.
[0093] The probe body 5 of the measuring probe 4 is elongated in shape and approximately cylindrical over a substantial part of its length. At least one hole 6a is configured spaced apart from the front end and presently in an approximately central section on the circumference. This hole 6a is connected with the stagnation pressure sensor system 25 on the side wall of the probe body 5. The central front opening 6 is likewise connected with the stagnation pressure sensor system 25.
[0094] The stagnation pressure sensor system 25 comprises a differential pressure sensor 25c, which captures a differential pressure between the openings 6 and 6a. Thus, a dynamic differential pressure is captured from which a stagnation pressure value or air pressure value is derived. A value for the local static pressure is captured via the openings 6a while the total pressure during the ride is captured through the opening 6. The differential pressure obtained with the differential pressure sensor 25c of the stagnation pressure sensor system 25 is a measure for the relative air speed streaming frontally onto the probe body.
[0095] A number of openings 6a are preferably evenly distributed over the circumference and interconnected inside the probe body 5 so that they capture an average static pressure.
[0096] In the interior of the probe body 5 the indicated ducts are in particular configured in all the ducts so as to prevent water from penetrating up to the sensor.
[0097] The bicycle component 1 furthermore comprises a barometric pressure sensor 20 for capturing the ambient pressure. The barometric pressure sensor 20 for capturing the ambient pressure may be disposed in a number of positions of the measuring device 2. At any rate the barometric pressure sensor 20 should not also capture the total pressure which is captured by the stagnation pressure sensor 25 at the foremost tip of the measuring device 2.
[0098] For capturing the ambient pressure, the barometric pressure sensor 20 (also referred to as absolute pressure transducer) may for example be disposed inside the housing 3, specifically in a lower region of the housing 3 or in the rear region of the housing 3. It is also possible for the barometric pressure sensor 20 for capturing the ambient pressure to be disposed on a side surface or at the bottom face of the housing 3 or to include an inlet surface. At any rate the barometric pressure sensor 20 captures an air pressure signal 21 for the ambient pressure but not for some other pressure which might lie between the total pressure and the ambient pressure.
[0099] The bicycle component 1 illustrated in
[0100] By means of a computer 50 comprising a memory 51 and a data interface and in particular a network interface 52 the captured data may be processed, stored, and optionally transmitted to remote stations. The data interface may also comprise an antenna for receiving and/or emitting signals. Data can thus be optionally radio-transmitted.
[0101] The power source 54 may be a battery or an accumulator or another energy storage device to provide the energy required for the sensors, the memory and the computer. Energy supply through the bicycle is also conceivable.
[0102] A yaw sensor 30 comprises a differential pressure sensor 30c for capturing the differential pressure at the two openings 30a and 30b disposed at the front end of the yaw angle probe. The yaw angle probe is configured at its front end with two surfaces angled relative to one another (in particular perpendicular to the ground) and presently oriented at an angle of 90 to one another, and comprises the two openings 30a and 30b. A yaw angle 32 is derived from the measurement values.
[0103] The yaw sensor comprises a probe body similar to that of the stagnation pressure sensor system 25. Two separate air guides are configured in the interior of the probe body of the yaw sensor 30. The front tip is provided with two openings 30a, 30b at angles relative to one another, in particular connected with a differential pressure sensor 30c or separate pressure sensors to derive a differential pressure.
[0104] To facilitate overview, the half of
[0105] Thus it is possible to obtain from the traveling speed 34 and the captured values, the wind direction and the wind speed 33 relative to the movements of the bicycle 100. Said wind direction and wind speed 33 correspond to the wind blast to which the rider is exposed at the yaw angle 32.
[0106] It is also possible to provide two or optionally more surfaces on which to measure the air pressure disposed e.g. at angles to one another to derive a yaw angle 32 from the differences between the measurement values.
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[0108] For the sake of clarity, only one air guide 10 each is shown although the yaw sensor 25 or the stagnation pressure sensor system 30 for capturing the stagnation pressure preferably each comprise differential pressure sensors and two or more separate air guides 10. Various air guides 10 are separate from one another inside of a probe body, comprising separate chambers 15 and/or chamber sections and optionally partition walls 15c to prevent water and/or dirt from entering up to the pressure sensor or differential pressure sensor.
[0109] At the front end of the probe body 5 the outwardly opening 6 is formed, which is followed by the air guide 10 and firstly, the air duct 11 as a supply duct. The air duct 11 extends up to the chamber 15 which provides a takeup space for any entered water. In a preferred configuration a typical diameter 19 of the air duct 11 is approximately 1 mm (+/20%). The narrow diameter already largely prohibits the entry of water.
[0110] The rear end of the chamber 15 is followed by the air duct 12 that is configured as a sensor duct and extends up to the barometric pressure sensor 20. The typical diameter 12a of the sensor duct 12 is also approximately 1 mm (+/20%) in a preferred configuration. The structure of the air guide 10 and the narrow diameter of the air and sensor ducts ensure reliable protection of the barometric pressure sensor 20 against penetrating water.
[0111] Another contribution to protection against penetrating water is the fact that the outer opening 6 of the air duct 11 shows a dimension or diameter 8 (which is smaller still than the diameter of the air duct 11). The diameter 8 is about 20% smaller than the typical diameter 19 of the air duct 11. An outer opening 8, that is smaller still, achieves a still better protection against penetrating water.
[0112] This allows to omit thermal measures such as heating the probe body 5. The interior remains largely free from water in operation. However, at least in the region of the probe body 5 the bicycle should not be cleaned by means of a high pressure cleaner.
[0113] Firstly the takeup space formed in the chamber 15 would have to fill up with water before water can enter the sensor duct 12. Due to the narrow dimensions and the water's surface tension any entering water forms a plug that tightly closes the duct and thus entraps the air volume present behind in the sensor duct 12. For water to penetrate further into the sensor duct 12 the entrapped air volume must be compressed so that a counterforce acts against penetrating water. In this way, water is largely prevented from penetrating up to the barometric pressure sensor 20.
[0114] The sensors 25, 30 may be adapted or configured similarly to the illustration in
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[0116] The chamber sections 15a, 15b are each provided with a takeup space 17 for collecting any penetrating water 18.
[0117] The partition walls 14 of the chamber 15 are provided with connecting openings 15d which connect the chamber sections 15a, 15b etc. successively and with one another (like a strand of pearls). The connecting openings are disposed spaced apart from the bottom of the pertaining chambers or chamber sections so as to provide suitable takeup spaces. The partition walls show connecting openings disposed so that they are not aligned but disposed laterally and/or vertically offset. Preferably each of the connecting openings is disposed spaced apart from the bottom of the pertaining takeup space.
[0118] On the whole this provides two or more interconnected chambers or chamber sections and with the pertaining air guide in-between, a labyrinth seal 14 which is a particularly reliable protection of the barometric pressure sensor 20 against penetrating water. For maintenance work or following each trip the air guide may be completely or partially cleaned. The measuring probe 4 may for example be demounted and flushed and dried and/or purged by (in particular oil-free) compressed air.
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[0120] The dimensions 8 and 19 are matched to one another and to the properties of water so that any penetrating water forms a water plug 18 in the interior of an air duct, as is shown in
[0121] The
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[0125] The yaw sensor 30 is structured accordingly, comprising a probe body showing two openings and two air guides and preferably a differential pressure sensor 30c or two pressure sensors for obtaining a value of the differential pressure.
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[0128] The dependence on the position is a problem if a vehicle moving relative to the ambient airsuch as a bicycleis to capture the ambient pressure. Even the interior of an object does not show the normal ambient pressure but the pressure is influenced by the traveling speed, the wind speed, the wind direction and also by the structure of the object.
[0129] If an aerodynamic drag coefficient of a bicycle is to be obtained, the sensor values required must be captured as precisely as possible. It is a great advantage if the gradient of a path and/or also the wind direction are captured as precisely as possible.
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[0131] The concrete curve depends on the arrangement of the barometric pressure sensor for measuring the ambient pressure, on the precise configuration of the measuring device respectively the bicycle component 1 and also on the wind direction. The effect cannot be generally avoided, independently of a selected position. Even if, as in this case, the barometric pressure sensor 20 for the ambient pressure is disposed inside the housing 3, the relative wind blast and relative direction of the air may impair the measuring quality. Dynamic effects may show, which increase or decrease the measured value. The air may stagnate in front of the sensor inlet or Bernoulli's theorem may show a measured pressure value 21 that is lower than the true ambient pressure.
[0132] The bicycle component 1 comprises in the computer memory 51, calibration data 53 which allow, based on measurement data or empirical data, to correct the air pressure signal 21 first captured by a barometric pressure sensor 20. Using the stagnation pressure values 26 captured with the stagnation pressure sensor system 25 is most advantageous. The result may be further improved, taking into account the yaw angle 32 captured with the yaw sensor 30.
[0133] This enables considerable improvement to the determination of the current elevation of the racing bicycle 100, and the gradient or the gradient angle 201 of a path 200 can be derived at considerably improved accuracy.
[0134] Since the inclination angle or the gradient or the slope of a path considerably influences the driving power required, an aerodynamic drag coefficient can thus be determined at considerably improved accuracy. A negative gradient tends to be called slope. In a slope the aerodynamic drag coefficient also exerts a big influence.
[0135] Furthermore the rolling resistance also influences the power required. To this end, further measurement values may be captured and analysed, or values captured previously are used. The rolling resistance is influenced by the tires used, the tire pressure, the weight of the bicycle and of the rider and the road condition, and may be obtained, computed, and/or estimated.
[0136] Data may be captured and evaluated to obtain pertaining calibration data 53 either in a wind tunnel or on suitable roads, given suitable ambient and wind conditions. The calibration data 53 may then be used in normal operation to increase the accuracy of the measurement results and the derived values. The calibration data 53 for the calibrating matrix is derived either from tests in the wind tunnel or from road tests with no variations of elevation in one range of air speeds and yaw angles.
[0137] The
[0138] In
[0139] For this purpose for example a GPS sensor or another satellite sensor 35 of a global navigation satellite system (GNSS) may be used. Also possible are systems using pseudosatellites providing a local satellite system and enabling triangulation of the elevation and/or position.
[0140] One can clearly see the high accuracy of the satellite sensor 35 and the elevation signals 36. One can also directly recognize that the resolution of the elevation signals 36 of the satellite sensor 35 is comparatively coarse. Elevation differences of just under 2 m are recognized. A resolution of 2 m is not sufficient for computing a gradient for determining an aerodynamic drag coefficient when operating a bicycle.
[0141] Therefore, using only satellite sensors 35 for obtaining a local gradient does not yield satisfactory results for example if an aerodynamic drag coefficient is to be computed therefrom. An interpolation between each of the measurement values does not provide the required accuracy either since the elevation curves of many paths considerably differ from the particularly simple test track shown. Thus the gradient may considerably change locally already over one meter or over a few meters.
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[0144] Initially a reference value 28 is captured which is then used for determining an elevation difference. It can be seen that as measuring begins, the curve measured by the barometric pressure sensors shows a close match with the actual elevation curve 202. Around the middle the difference in elevation is already nearly 2 m at the value 23.
[0145] As the track continues, the elevation curve measured with the barometric pressure sensor 20 shows a systematic offset or divergence versus the actual elevation curve 202. The reason is that the barometric pressure sensor 20 does not capture the actual elevation but a measure of the ambient pressure. Although the absolute ambient pressure also depends on the elevation, it may vary e.g. due to the weather. Now if the air pressure drops during the ride on the track or if the air pressure rises, then the values so determined may diverge. This is shown exemplarily by the value 27. Again the result is that the values are not sufficiently precise for obtaining a high quality, aerodynamic drag coefficient. For this, a higher accuracy of capturing the elevation is useful.
[0146] Finally,
[0147] To this end the air pressure signals 21 of the barometric pressure sensor 20 disposed in the interior of the housing 3 of the measuring device 2 are corrected according to the calibration data 52, by way of the stagnation pressure values 26 captured by the stagnation pressure sensor system 25 and the yaw angle values 31 captured by the yaw sensor 30, according to the basic principle of the illustration in
[0148] Moreover, in addition to capturing the air pressure signals 21, the satellite sensor 35 is also employed for determining elevation measures. At periodic intervals the high-precision satellite sensor 35 is employed to obtain a comparison value. If the elevation value 24 obtained by way of the various barometric pressure sensors 20, 25 and 30 significantly deviates from the elevation signal 36 of the satellite sensor 35, a new reference signal 28 is derived so that an accurately corrected elevation value 24 ensues with the pertaining air pressure signal 21. To avoid recalibration owing to noisy measurement values, corrections only take place if differences show over a significant period of time.
[0149] This method combines the advantages of the high accuracy of satellite sensors 35 with the advantages of the high resolution of barometric pressure sensors 21. At the same time the drawbacks of the coarse resolution of satellite sensors 35 and of the conceivable air pressure fluctuations from barometric pressure sensors 20 are avoided. As can be seen in
[0150] A (first) reference signal 28 may for example be input or captured at the start of a ride or when the elevation is known. Differencing of the air pressure signal 21 during riding and the reference signal 28 allows to obtain a measure of the current elevation. The reference signal 28 may firstly be obtained by obtaining an initial air pressure signal 21 which is used as a reference signal 28 for following measurements. The pertaining reference signal 28 may also be input or captured by the satellite sensor 35. During the ride the reference signal 28 may be updated periodically and at irregular time intervals.
[0151] Corrections of the reference signal 28 used for computing a measure of elevation 23 may be carried out for example if the sum total of the deviations between the elevation signals 36 of the satellite sensor 35 and the obtained elevation values 24 exceeds a specified measure or a specified threshold over a given time period. For example a mean value may be computed over a specific distance or after a specific time period, which is then used for comparison.
[0152] Elevation signals 36 are preferably measured between approximately 20 and 30 times per second and approximately 3 to 5 times per minute, in particular at a frequency of approximately 0.1 Hz. The frequency at which a current measure of elevation is captured from a current, characteristic air pressure signal for the ambient pressure is preferably higher and is in particular between 0.1 Hz and 1 kHz and preferably between 1 Hz and 100 Hz, particularly preferably approximately 50 Hz.
[0153] Particularly preferably the ratio of the measuring frequency of the air pressure signal 21 for the ambient pressure to the measuring frequency of an elevation signal 36 is larger than 10 and in particular larger than 100 and preferably smaller than 5000. This allows to achieve a high measure of accuracy while energy demand remains low.
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[0155] The first measuring curve 41 shows an example of a basically constant measuring frequency, where the state of the energy supply drops beneath a threshold approximately in the middle of the distance. Then, energy saving measures are initiated and the measuring frequency is clearly reduced. It is possible that at the reduced level the measuring frequency is still varied in dependence on the current riding conditions, for example it increases as the speed increases or in the case of gradients or slopes. In the plane the measuring frequency can be reduced still further.
[0156] The second measuring curve 42 shows a control variant where an increased measuring frequency is set in the region of the first gradient. As the middle plateau is reached, the measuring frequency is considerably reduced in what is now a plane level (e. g. factor ). As a slope begins, the measuring frequency is greatly increased so as to achieve a very high precision for the higher riding speed downhill.
[0157] The third measuring curve 43 shows an example where in the region of the inclinations of the path (gradient/slope) the measuring frequency is increased, while the measuring frequency is reduced in the plane. This achieves increased precision in the region of the inclinations and energy demand is reduced in the plane. The curves 41 to 43 may in particular show not only the measuring frequency over the track but may also show curves of the measuring frequency over the riding time.
[0158] The schematically shown curves 41 to 43 show the measuring frequency over the track for a constant riding speed. The curves bend accordingly in the case of different riding speeds.
[0159] Preferably the measuring curves 41 to 43 each show identical measuring frequencies at the start, at the time 0. The absolute elevation is shown at an offset to better distinguish the curves graphically.
[0160] Furthermore,
[0161] The known weight of the bicycle and the rider allow to derive performance data from the current gradient value and the current speed value. It is taken into account whether and how the bicycle is accelerated.
[0162] Taking into account the input performance e.g. via force sensors on the pedals or torque sensors in suitable positions, all of the data allows conclusions about the currently prevailing aerodynamic drag. This assists the rider in taking, and maintaining, an optimal position during riding, since the relevant values are periodically re-captured and displayed. Computation is in particular done at a frequency of a minimum of 5 times per minute, preferably at least 20 times per minute. Frequencies of 0.5 Hz or 1 Hz or 10 Hz or more are likewise conceivable.
[0163] On the whole an advantageous bicycle component and an advantageous method are disclosed which enable improved options for measuring data in a bicycle. Depending on the positioning of a barometric pressure sensor for obtaining the absolute ambient pressure, the measurement result is influenced by the speed of the bicycle, the wind speed and the wind direction, and can thus provide results which are firstly imprecise. If the stagnation pressure is measured using for example barometric pressure sensors with a pitot tube open to the front in the traveling direction, a total pressure will ensue which depends on the absolutely prevailing air pressure in the ambience and on the traveling speed. This pressure signal is not alone sufficient for determining an elevation or gradient, since an impression of a gradient would show if the rider accelerates in a plane.
[0164] If the barometric pressure sensor for obtaining the absolute ambient air pressure is located for example in the housing of the bicycle component or in the measuring device 2, then the air stagnates in front of the housing as a consequence of the wind blast or the traveling speed and at the front tip of the housing generates a total pressure which negatively (or also positively) influences the absolute air pressure measured in the interior of the housing.
[0165] If the barometric pressure sensor for capturing the absolute air pressure is disposed on a side of the housing next to an opening, then the result again shows a negative influence due to Bernoulli's theorem. Then, the air flowing past may generate an underpressure which would againdepending on the speedshow a negative influence on the absolute pressure.
[0166] This is why correction of the air pressure signal 21 by the stagnation pressure value 26 is useful and advantageous if the bicycle component 1 is to obtain minor and also tiny gradients. The correction is in particular done together with a calibrating matrix captured in previous tests under known conditions. Calibration values are in particular captured and stored for variations of the relative speed and/or variations of the yaw angle. A correction is for example advantageous and important to sufficiently precisely obtain the air drag.
[0167] The correction of an elevation value 24 by means of an elevation signal 36 of a satellite sensor is advantageous since in circuits the bicycle component shows the same elevation at the end as at the beginning of the circuit.
[0168] Due to the relatively large graduation in measuring, an elevation profile is as a rule captured via barometric pressure sensors. However, known bicycle computers tend to show different elevation data at the beginning and the end of a circuit due to air pressure fluctuations. In fact the rider has traveled a complete round and at the end of the round he is located at precisely the same elevation as he was at the beginning of the round.
[0169] The presently disclosed combination of evaluations of satellite sensors and pressure sensors allows a very precise elevation determination and in particular a very precise determination of the gradient of a path or a track. Since the power required for driving the bicycle is considerably dependent on the acceleration, the gradient if any, the rolling resistance, and the air drag, high accuracy can thus be achieved.
[0170] The invention allows the rider to also measure and evaluate during riding, his seated position as well as the bicycle components and other equipment such as his helmet, suit, clothing etc. Thus the rider may find out what for him is the optimal seated position and combination of bicycle parts and equipment and determine what for him is e.g. the best helmet in terms of aerodynamics offering the lowest air drag in his preferred position.
[0171] Other than the options described for calibrating the barometric pressure sensor during rides, re-calibration can also be performed if the barometric pressure sensor found a specific gradient or a specific slope. For example following a gradient or a slope of 5 m or 10 m. Re-calibration can also be performed at specific time intervals. Also, a combination of calibration based on time and exceeded elevation differences may be performed.
[0172] Air pressure values are preferably measured using barometric pressure sensors showing a measuring range encompassing at least 25% and in particular at least 50% of the normal pressure of (approximately) 100 kPa. For capturing the ambient pressure or the total pressure, barometric pressure sensors are preferred showing a measuring range of higher than 30 kPa and in particular at least 50 kPa or 60 kPa or 80 kPa.
[0173] In preferred configurations the measuring range of the differential pressure sensors employed is smaller than that of the barometric pressure sensors employed. Differential pressure sensors are in particular employed for capturing the stagnation pressure and/or the yaw angles. The measuring range of a differential pressure sensor employed is preferably less than 20 kPa and in particular less than 10 kPa and particularly preferably less than 5 kPa or 2 kPa or 1 kPa. In a specific example, differential pressure sensors are used showing a measuring range of 0.5 kPa (+/20%). This enables a high resolution and accuracy.
[0174] The measuring range of a barometric pressure sensor for capturing the ambient pressure or the total pressure is preferably larger than the measuring range of a differential pressure sensor for the stagnation pressure or for determining the yaw angle.
[0175] The ratio of the measuring range of a barometric pressure sensor for capturing the ambient pressure or the total pressure to the measuring range of a differential pressure sensor for stagnation pressure or for determining the yaw angle is preferably higher than 5:1 and in particular higher than 10:1 and particularly preferably higher than 50:1.
[0176] In all the configurations it is preferred to perform temperature compensation of the measurement values to prevent thermal effects.
[0177] The configuration of the measuring probe respectively probe body 5 is advantageous since it allows operating a bicycle independently of the external conditions. The configuration of the air guide in the interior of the probe body 5 reliably prevents any penetrating water from being conducted toward a barometric pressure sensor. And, in case that a droplet of water or dirt has in fact entered, it is retained in the takeup space 17 of a chamber 15. Thereafter the water may exit for example by evaporation, or manual cleaning, flushing and/or purging is performed after removing the probe body 5, which is in particular clipped on. The air ducts and their dimensions and the chamber(s) provide a labyrinth seal with an additional takeup space so that the measuring probe 4 is waterproof under any conditions expected in everyday use.
[0178] A conventional membrane in the interior of the measuring probe for mechanically separating the supply duct 11 from the sensor duct 12 achieves sufficient tightness as a rule. There is the drawback that accuracy is considerably reduced and the measurement results are thus deteriorated so that an aerodynamic drag coefficient cannot be determined with sufficient accuracy. The measuring probe 4 presently disclosed achieves sufficient tightness and sufficient accuracy.
[0179] Preferably the probe body 5 is manufactured by way of 3D printing, at least partially or entirely of plastic, and/or at least partially or entirely of metal. The interior may show an integral seal or labyrinth seal. 3D printing allows much greater ease of manufacturing a probe body than conventional technology does. Thus, hollow spaces may be provided in places where solid material is otherwise required for reasons of process technology.
LIST OF REFERENCE NUMERALS
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TABLE-US-00001 1 bicycle component 2 measuring device 3 housing 4 measuring probe 5 probe body 6 opening in 5 6a opening 7 opening 8 dimension of 5 10 air guide 11 air duct, supply duct 12 air duct, sensor duct 13 air duct, intermediate duct 14 labyrinth seal 15 chamber 15a chamber section 15b chamber section 15c partition wall 15d connecting opening 16 chamber 17 takeup space in 15, 16 18 water 19 cross section of 11-13 20 barometric pressure sensor, absolute pressure transducer 21 air pressure signal of 20, sensor value of 20 22 corrected ambient pressure value 23 measure of elevation 24 elevation value 25 stagnation pressure sensor system, pitot sensor 25c differential pressure sensor 26 stagnation pressure value, sensor value of 25 27 change of elevation 28 reference signal 30 yaw sensor system 30a opening 30b opening 30c differential pressure sensor 32 yaw angle 33 relative wind direction and wind force 34 traveling speed 35 satellite sensor 36 elevation signal 37 humidity sensor 38 acceleration sensor 40 control device 41 first measuring curve 42 second measuring curve 43 third measuring curve 50 computer 51 memory 52 data interface, network interface 53 calibration data 54 energy source 100 bicycle 101 wheel, front wheel 102 wheel, rear wheel 103 frame 104 fork, suspension fork 106 handlebar 107 saddle 109 spoke 110 rim 112 pedal crank 115 speed sensor 116 power sensor, force sensor 120 elevation 200 path 201 gradient value, gradient angle 202 elevation curve 300 satellite system 301 satellite