The present invention belongs to the field of automotive suspension, and, in particular, relates to a damper for a semi-active energy regenerative suspension based on hybrid excitation and a method for determining the sizes thereof.
At present, most of the vehicle suspensions still use the traditional double-tube dampers, the damping coefficients of which cannot be changed under the different driving cycle. As a result, such dampers can only achieve good damping performances in the specific conditions while not be adaptive to different roads, and thus the damping performances thereof are limited. In addition, for most traditional dampers, once the damper is failed, the vehicle will completely lose the capacity of isolating vibration, which has a great influence on the riding comfort and control stability of the automotive.
On the other hand, environmental and energy problems are becoming increasingly serious all over the world. In the case of conventional internal combustion engines, only 16% of the energy is used to drive vehicles, and the remaining energy is consumed by energy-consuming components in the form of heat. Recovery and reuse of energy recovery is an effective way to save energy in the automotive. Some studies have shown the followings: a regenerative braking can increase fuel efficiency by up to 30%; the waste heat recovery can increase fuel efficiency by 10% to 30%; and an energy-regenerative suspension can increase fuel efficiency by 10%.
A linear motor has a simple and compact structure, and provides high efficiency and good anti-electromagnetic performance, wherein there is no radial force present between an armature and a stator. Bose Corporation developed an active energy-regenerative suspension based on linear motor, which can recycle a part of the automotive vibration energy and improves the dynamic performance of the automotive at the same time. However, the linear motor cannot recover the vibration energy and keeps a high level of energy consumption when it outputs an active force. In addition, the Chinese patent application CN201310105535.0 discloses a semi-active energy-regenerative suspension of hybrid electric vehicles, wherein a cylindrical and linear generator is integrated with a traditional passive damper, and wherein a throttle is opened on the piston rod so that the damping force is adjustable. However, the ways to adjust the damping force are complex and unstable. Additionally, the linear motor, which is only used to recover energy, is not adequately used. Therefore, it is urgent to propose a new structure, which is able to recover energy while outputting an adjustable damping force.
Hybrid excitation, a new way of excitation, combines the electric excitation and excitation by a permanent magnet. Compared with a permanent magnet motor, the hybrid excitation motor has the ability to regulate the magnetic field within an air-gap. Meanwhile, compared with the synchronous motor, the hybrid excitation motor has a smaller reactance of armature reaction. Therefore, the present invention proposes the concept to integrate a linear motor based on hybrid excitation with a traditional damper.
In view of the shortcomings of the prior art technology, the present invention proposes a damper for a semi-active energy regenerative suspension based on hybrid excitation and a method for determining the sizes thereof. Particularly, a cylindrical and linear motor based on hybrid excitation is integrated with a conventional hydraulic shock absorber. When the automotive is running, the riding comfort and control stability could be improved by altering the current magnitude and direction of the DC excitation winding, so that the damping force of the suspension is adjustable in real time according to the riding working conditions. Meanwhile, the vibration energy is recovered via the relative motion between the sprung weight and the un-sprung weight, which improves the fuel economy and reduces the energy consumption. In addition, the damper of the present invention provides a fail-safe function. Therefore, the suspension operates normally when the linear motor based on hybrid excitation partly fails, as the hydraulic shock absorber can still provide a damping force.
The above objects of the present invention are achieved by the following technical solutions.
In one aspect, the present invention provides a method for determining the sizes of a damper for a semi-active energy regenerative suspension based on hybrid excitation, comprising the steps of:
Step 1), deducing the analytical expression of the electromagnetic damping force and the analytical expression of the induced electromotive force of the damper for a semi-active energy regenerative suspension;
Step 2), determining the rated data of the damper for a semi-active energy regenerative suspension according to the particular working conditions and technical requirements of the damper for a semi-active energy regenerative suspension, determining the adjustable range of hybrid damping force and the type of the hydraulic shock absorber (10);
Step 3), determining the size of a permanent magnet (203) according to the analytical expression of the electromagnetic damping force of the damper for a semi-active energy regenerative suspension, wherein the excitation current in a DC excitation winding (205) is assumed as zero; and determining the number of windings and the wire diameter of the DC excitation winding (205) according to the input range of DC excitation current in the DC excitation winding (205);
Step 4), optimizing the overall dimensions of a motor by particle swarm optimization (PSO) algorithm, wherein the electromagnetic damping force provided by unit excitation current is taken as the objective function, and wherein the constraint conditions are as follows: the magnetic density of each part of the motor does not exceed the maximum value of the magnetic; the boundary dimensions of the motor meet requirements; the excitation current is no more than 3 A; and the electromagnetic damping power is greater than the minimum value; substituting the above constraint conditions into the objective function with a penalty function, wherein the parameters set in the particle swarm optimization algorithm include a population size of the particle swarm, learning factors, inertia weights, an independent variable and the number of iterations;
Step 5), substituting the overall dimensions of the motor obtained as described above into the analytical expression of the electromagnetic damping force and the analytical expression of the induced electromotive force so as to obtain the analytic value of the electromagnetic damping force and the analytic value of the energy recovered in the damper for a semi-active energy regenerative suspension:
Step 6), comparing the rated data of step 2) and the analytic values calculated in step 5), and moving to the next step if the design requirements are met, or otherwise if the design requirements are not met, returning to step 3);
Step 7), establishing a motor model according to the initial sizes of each part of the motor as determined in step 3) and step 4) in the simulation software, Ansoft; simulating the hybrid excited linear motor, and performing the finite element analysis; and optimizing the dimensions of hybrid excitation mechanism (20) via comparing the finite element value with the analytic value calculated in step 4), wherein the parameters to be optimized include the width of the permanent magnet (203), the length of DC excitation winding (205) and the length of the air-gap between a stator and a mover in the motor;
Step 8), obtaining the optimized sizes of the hybrid excitation mechanism (20) after being optimized; and comparing the performances of the damper for a semi-active energy regenerative suspension before and after optimization, wherein, if there is no significant improvement after optimization in term of the performances of the damper, return to step 6); and
Step 9), determining the final sizes of the damper for a semi-active energy regenerative suspension.
Preferably, the analytical expression of the electromagnetic damping force deduced in the step 1) is
wherein FE is the electromagnetic damping force of the damper for a semi-active energy regenerative suspension; kf is the electromagnetic damping force coefficient; kv is the voltage coefficient of winding; (ż2−ż1) is the relative velocity between the mover and the stator; Rm is the motor internal resistance; and Rl is the resistance of a loaded circuit.
Preferably, the analytical expression of the induced electromotive force deduced in the step 1) is
wherein Vemf is the induced electromotive force of the damper for a semi-active energy regenerative suspension; m is the number of windings of the three-phase windings (202); r is the wire diameter of the three-phase windings (202); Am is the radial section area of the permanent magnet (203); Acoil is the radial section area of the three-phase windings (202); Bm is the magnetic induction intensity of the permanent magnet (203); kv is the voltage coefficient of the winding; and (ż2−ż1) is relative velocity between the mover and the stator.
Preferably, the final sizes of the damper for a semi-active energy regenerative suspension determined by step 9) are as follows: the thickness of an iron core, τi, equals to 5.7 mm; the thickness of the permanent magnet, τm, equals to 10.5 mm; the width of the three-phase windings, τc, equals to 8.4 mm; the yoke radius of the stator, rs, equals to 33.55 mm; the outer diameter of the three-phase windings, rc, equals to 32.2 mm; the internal diameter of the three-phase windings, ra, equals to 29.2 mm; the outer diameter of the permanent magnet, rm, equals to 28.2 mm; the internal diameter of the permanent magnet, rw, equals to 22.2 mm; the outer diameter of the direct current excitation, ri, equals to 19.2 mm; the internal diameter of the direct current excitation, rp, equals to 4.2 mm.
Preferably, the parameters set in the particle swarm optimization algorithm in step 4) are as follows: the population size of the particle swarm is 40; the learning factors are all of 2; the inertia weights are all of 0.9; the independent variable is 4; and the number of iterations is 500. In a second aspect, the present invention provides a damper for a semi-active energy regenerative suspension determined by a method for determining the sizes of a damper for a semi-active energy regenerative suspension based on hybrid excitation, comprising an upper lifting lug, a lower lifting lug and a hydraulic shock absorber main body disposed between the upper lifting lug and the lower lifting lug, characterized in that further comprising a hybrid excitation mechanism, and a dustcover wrapping the periphery of the hydraulic shock absorber main body; wherein the hybrid excitation mechanism includes a stator and a mover; and, wherein the stator includes a conductor tube and a three-phase winding, and the mover includes a permanent magnet, an iron core and a DC excitation winding;
1, The hybrid excitation linear motor and the hydraulic shock absorber are integrated, and thus the damping force could be adjusted by changing the magnitude of excitation current generated by the DC-excitation winding, which improves the vibration isolating performance of the damper. At the same time, an induced current is produced in the three-phase winding due to the relative motion between the stator and the mover of the hybrid excitation mechanism. Therefore, the energy of vibration can be converted into electrical energy and stored, which achieves that the energy is recovered while providing adjustable damping force. In addition, the damper of the present invention provides a fail-safe function, as the hybrid excitation mechanism and the hydraulic shock absorber worked independently. Therefore, the suspension operates normally when the hybrid excitation mechanism fails, as the hydraulic shock absorber can still provide a damping force.
2. Based on the deduced analytic expression of the electromagnetic damping force, a simple method for determining the sizes of a damper is proposed. The algorithm of particle swarm optimization based on the penalty function is used to obtain the optimal size so that the damping force is the largest. In addition, the width of the permanent magnet, the length of the DC-excitation winding and the length of the air-gap between the stator and the mover are optimized via performing the finite element analysis, which increases the magnitude of the damping force of the damper and that of the energy recovered. Such method has practical utility.
In the above drawings, the references are as follows: 1—upper lifting lug, 2—dustcover, 3—lower lifting lug, 10—hydraulic shock absorber main body, 101—piston rod, 102—skeleton oil seal, 103—guide holder, 104—working cylinder, 105—piston, 106—flow valve, 107—rebound valve, 108—oil storage cylinder, 109—compressive valve, 110—recuperation valve, 20—hybrid excitation mechanism, 201—conductor tube, 202—three-phase winding, 203—permanent magnet, 204—iron core, 205—DCexcitation winding.
Further explanation of the proposed invention will be presented with reference to the drawings and embodiments. It is to be understood, however, that the invention is not limited to the following embodiments.
As shown in the
The hydraulic shock absorber main body 10 includes a piston rod 101, a skeleton oil seal 102, a guide holder 103, a working cylinder barrel 104, a piston 105, a flow valve 106, a rebound valve 107, an oil storage cylinder barrel 108, a compression valve 109 and a recuperation valve 110.
When an automobile is running, there is relative movement between the car body and the wheels due to the unevenness of a road, which activates a damper for a suspension to work. When the damper is compressed or stretched, the oil fluid in the hydraulic shock absorber 10 flows between the upper chamber and lower chamber of the piston 105, wherein the throttling actions of the flow valve 106, the rebound valve 107, the compression valve 109 and the recuperation valve 110 to the oil fluid forms a viscous damping force. At this time, since the stator of the hybrid excitation mechanism 20 is connected to the upper lifting lug 1 and the dustcover 2, and the stator and the mover of the hybrid excitation mechanism 20 are connected to the oil storage cylinder barrel 108, there is a relative movement between the stator and the mover of the hybrid excitation mechanism 20. According to the Faraday's law of electromagnetic induction, there is an induced current in the three-phase winding 202, which converts the vibration energy into the electric energy for storing, and achieves the energy regeneration of the damper. Meanwhile, according to Lenz's law, an electromagnetic damping force is produced accompanied by the generation of the induced current. When the DC excitation winding 205 is not powered, the magnetic field in the air-gap is produced solely by the permanent magnet 203, and thus the electromagnetic damping coefficient is constant. When the induced current is generated in the three-phase winding 202, the vibration energy is converted into the electric energy. If the magnitude of the excitation current in the DC excitation winding 205 is changed according to different working conditions, and thus the magnetic induction intensity in the air-gap changes dependent on the excitation current, the electromagnetic damping coefficient can be changed in order to achieve an adjustable damping value of the damper.
Step 1): deducing the analytical expression of the electromagnetic damping force and the analytical expression of the induced electromotive force of the damper for a semi-active energy regenerative suspension;
Deducing the Analytical Expressions:
According to Ampere circuital theorem, it can be known that:
wherein H refers to magnetic field strength. The equation (1) is obtained based on the following assumptions: the permanent magnet is radial magnetized; the magnetic field inside the air-gap is totally radial, and the magnetic induction lines in each part of the magnetic pole are parallel to the loop C; the magnetic leakage in the structure is neglected; there is no magnetic saturation in the material; and, the connecting part of the hydraulic shock absorber and the hybrid excitation motor is made of the non-magnetic material.
Equation (1) can be written as:
wherein c refers to the equivalent magnetic circuit; Hm refers to the magnetic field strength of the permanent magnet 203; rw is the inner diameter of the permanent magnet 203; rm is the outer diameter of the permanent magnet 203; ri is the outer diameter of the DC excitation winding 205; Bpole is the magnetic induction intensity of the iron core 204; μ0 is the permeability of vacuum; μFe is the relative permeability of iron; rp is the inner radius of the DC excitation winding 205; N refers to the number of windings of the DC excitation winding 205; I is the excitation current; Btube is the axial magnetic induction intensity of the three-phase winding 202; τc is the width of the three-phase winding 202; ra is the inner diameter of the three-phase winding 202; Bair is the magnetic induction intensity in the air-gap; rc is the outer diameter of the three-phase winding 202; Bcoil is the radial magnetic induction intensity of the three-phase winding 202; and μCu is the relative permeability of copper.
For the permanent magnet 203, the magnetic induction intensity thereof, Bm, could be expressed as follows:
Bm=Br+μ0μrHm (3)
wherein Br refers to the residual magnetic induction intensity, and μr refers to the reversible permeability.
In view of Equation 3, Equation 4 can be written as follows:
Since the magnetic leakage is neglected, the following Equation 5 may be obtained:
AmBm=ApoleBpole=AtubeBtube=AairBair=AcoilBcoil (5)
wherein Am is the radial sectional area of the permanent magnet 203; Apole is the sectional area of the iron core 204; Atube is the axial sectional area of the three-phase winding; Acoil is the radial sectional area of the three-phase winding 202; and Aair is the sectional area of the air-gap. In view of Equation (5), the magnetic intensities in each part of the hybrid excitation mechanism could be expressed in term of the magnetic induction intensity of the permanent magnet 203, Bm:
wherein kpole is the coefficient of the magnetic induction intensity of the iron core 204; kair is the coefficient of the magnetic induction intensity of the air-gap; kcoil is the coefficient of the radial magnetic induction intensity of the three-phase winding 202; and, ktube is the coefficient of the axial magnetic induction intensity of the three-phase winding 202.
By Substituting Equations 6-9 and Equation 4 into Equation 2, the magnetic induction intensity of the permanent magnet 203, Bm, is obtained as follows:
Therefore, the magnetic induction intensity at each part of magnetic path could be expressed by Equations (6)-(9) using Bm.
According to the law of electromagnetic induction, for a coil of single winding, the induction voltage is expressed as follows:
Vemf sin gle=−2πrBcoil(ż2−ż1) (11)
Wherein (ż2−ż1) refers to the relative velocity between the stator and the mover.
According to the above deducing process, Bcoil can be expressed by Bm. Therefore, the induction voltage of the winding could be written as:
wherein m is the number of windings in the three-phase winding 202; r is the wire diameter of the three-phase winding 202; and, kv refers to the voltage constant of the winding,
It can be seen from the expression of Bm in Equation 10 that both of Bm and kv vary with the excitation current.
According to Lorentz's law, for a coil of single winding, the electromagnetic force which is experienced by such coil in a magnetic field is as follows:
FE sin gle=2πrBcoili (15)
By substituting Bm deduced in Equation 10 into Bcoil, the electromagnetic damping force generated by a single pair of magnetic pole is as follows:
wherein
refers to the coefficient of the electromagnetic damping force, which also varies with the excitation current.
In addition,
wherein Rm is the motor resistance, and RL is the resistance of a loaded circuit. As a result, Eq. 16 can be written as:
Step 2): determining the rated data of the damper for a semi-active energy regenerative suspension according to the particular working conditions and technical requirements of the damper for a semi-active energy regenerative suspension, and determining the adjustable range of hybrid damping force and the type of the hydraulic shock absorber 10;
Step 3): determining the size of a permanent magnet 203 according to the analytical expression of the electromagnetic damping force of the damper for a semi-active energy regenerative suspension, wherein the excitation current in a DC excitation winding 205 is assumed as zero; and determining the number of windings and the wire diameter of the DC excitation winding 205 according to the input range of DC excitation current in the DC excitation winding 205;
Step 4): optimizing the overall dimensions of a motor by particle swarm optimization (PSO) algorithm with a penalty function;
The target for optimization is to improve the electromagnetic damping force provided by the unit excitation current. Therefore, the objective function is defined as
where FE refers to the electromagnetic damping force provided by hybrid excitation mechanism; F0 is the electromagnetic damping force when excitation current is zero; and Il is the value of the excitation current.
The mainly involved variables comprise the width of the conductor tube 201, rp, the length of the iron core 204, ri, and, the width of the iron core 204, τi.
The constraint conditions of the particle swarm optimization algorithm are set as follows: the magnetic density of each part of the motor does not exceed the maximum value of the magnetic, Bmax; the boundary dimensions are limited; the excitation current is no more than 3 A; and F0FE.
In general, the particle swarm algorithm is applied to unconstrained optimization problems. Herein, since a lot of constraint conditions are introduced, the penalty function F(X) is introduced to transform a constrained programming problem into an unconstrained problem. Because the constraints in the dimension optimization of the proposed structure are all inequality constraints, the penalty function is defined as:
wherein μ is a constant with great value; gi(x) is the constraint condition. The parameters set in the particle swarm optimization algorithm are as follows: the population size of the particle swarm is 40; the learning factors are all of 2; the inertia weights are all of 0.9; the independent variable is 3; and the number of iterations is 500.
Assuming that the width of the conductor tube 201, rp, the length of the iron core 204, ri, and the width of the iron core 204, τi, are 6 mm, 15 mm, 4.5 mm, respectively, the optimization results are shown in the Table. 1.
The matlab codes employed for the particle swarm optimization algorithm are as follows:
Step 5): substituting the overall dimensions of the motor obtained as described above into the analytical expression of the electromagnetic damping force and the analytical expression of the induced electromotive force so as to obtain the analytic value of the electromagnetic damping force and the analytic value of the energy recovered in the damper for a semi-active energy regenerative suspension;
Step 6): comparing the rated data of step 2) and the analytic values calculated in step 5); and moving to the next step if the design requirements are met, or otherwise if the design requirements are not met, returning to step 3);
Step 7): establishing a motor model according to the initial sizes of each part of the motor as determined in step 3) and step 4) in the simulation software, Ansoft; simulating the hybrid excited linear motor, and performing the finite element analysis; and optimizing the dimensions of hybrid excitation mechanism 20 via comparing the finite element value with the analytic value calculated in step 4), wherein the parameters to be optimized include the width of the permanent magnet 203, the length of DC excitation winding 205 and the length of the air-gap between a stator and a mover in the motor;
Step 8): obtaining the optimized sizes of the hybrid excitation mechanism 20 after being optimized; and comparing the performances of the damper for a semi-active energy regenerative suspension before and after optimization, wherein, if there is no significant improvement after optimization in term of the performances of the damper, return to step 6); and
Step 9): determining the final sizes of the damper for a semi-active energy regenerative suspension.
A single pair of magnetic poles in the hybrid excitation mechanism 20 is shown in
Finite element analysis software Ansoft is used to create a model, define materials, apply excitation, split the model, define motions, and perform simulation.
Parametric scanning method is used to optimize the length of the air-gap, the length of the DC excitation winding, and the width of the permanent magnet. The purpose of such optimization is to balance the direct-current excitation magnetic field and the permanent magnet field so as to prevent magnetic saturation which affects the adjustable range of the magnetic field.
The optimized sizes are as follows: the thickness of the iron core 204, τi, equals to 5.7 mm; the thickness of the permanent magnet 203, τm, equals to 10.5 mm; the width of the three-phase windings 202, τc, equals to 8.4 mm; the yoke radius of the stator, rs, equals to 33.55 mm; the outer diameter of the three-phase windings 202, rc, equals to 32.2 mm; the internal diameter of the three-phase windings 202, ra, equals to 29.2 mm; the outer diameter of the permanent magnet 203, rm, equals to 28.2 mm; the internal diameter of the permanent magnet 203, rw, equals to 22.2 mm; the outer diameter of the direct current excitation winding 205, ri, equals to 19.2 mm; and the internal diameter of the direct current excitation winding 205, rp, equals to 4.2 mm.
Comparisons vibration isolation property and energy regenerative property of the hybrid excitation mechanism before and after optimization are shown in
The specific embodiment is described in detail hereinbefore with reference to the technical solutions of the proposed invention. Referring to the technical solutions of the present invention, a person of ordinary skill in the art can propose a variety of alternative structures and embodiments. Thus, the specific embodiment and drawings described hereinbefore are merely exemplary illustration of the technical solutions of the present invention, and should not be considered as the complete contents or as limitations of the present invention.
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2016 1 0678123 | Aug 2016 | CN | national |
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PCT/CN2016/096842 | 8/26/2016 | WO | 00 |
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WO2018/032528 | 2/22/2018 | WO | A |
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Number | Date | Country | |
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