A method for optimizing the design of energy efficiency of a slope gravity energy storage system

Abstract

The present invention provides a method for optimizing the energy efficiency of a slope-type gravity energy storage system, including designing the total energy efficiency η of carrying a mass block to complete a complete charge and discharge cycle during the operation of the slope-type gravity energy storage system. L ; Use particle swarm algorithm to calculate the overall operating energy efficiency η of the slope gravity energy storage system L The highest control variable; used for the energy efficiency optimization design of the entire slope gravity energy storage system; design the energy consumption E of the whole process of transporting a mass block from the lower yard to the upper yard under the energy storage condition of the slope gravity energy storage system Lc The swarm intelligence optimization algorithm is used to search for the best mass block mass, motor pole pair number, gearbox first-stage transmission ratio, gearbox second-stage transmission ratio, sprocket pitch, and sprocket teeth number, which effectively solves the coordination optimization problem among multiple parameters in the gravity energy storage design stage and provides a design basis for improving the energy efficiency of the slope gravity energy storage system.

Description

Technical Field

[0001] The invention relates to the technical field of slope type gravity energy storage, and in particular to an energy efficiency optimization design method for a slope type gravity energy storage system. Background Art

[0002] As the main force of green energy, wind power and photovoltaic power generation have the advantages of cleanness and environmental protection, but their inherent randomness, volatility and intermittent characteristics are not conducive to large-scale grid-connected operation. In particular, when the proportion of direct grid-connected new energy power generation rises to more than 10%, the safe and stable operation of the power grid faces severe tests. For this reason, building an efficient energy storage power station has become the key to solving the problem of new energy grid connection. Gravity energy storage has the advantages of high safety, low cost, long life, no attenuation of stored energy, short construction period and environmental friendliness. Among them, slope gravity energy storage can use the natural drop of the mountain to reduce construction costs and reduce the occupation of flat land resources. It is one of the important forward-looking technologies in the field of long-term and large-capacity energy storage.

[0003] The development of slope gravity energy storage technology is in its infancy. In actual operation, the current slope gravity energy storage system faces a major challenge of how to optimize system parameters to improve the energy conversion efficiency of the system. The design of traditional slope gravity energy storage systems is often based on empirical judgment and lacks refined optimization of key system parameters, such as mass weight, motor pole pair number, gearbox transmission ratio, gearbox level, sprocket pitch, sprocket teeth number, etc. These parameters directly affect the energy conversion efficiency and operating cost of the system. Therefore, there is an urgent need for an energy efficiency optimization design method for slope gravity energy storage systems. Summary of the invention

[0004] The purpose of this section is to summarize some aspects of embodiments of the present invention and briefly introduce some preferred embodiments. Some simplifications or omissions may be made in this section and the specification abstract and the invention title of this application to avoid blurring the purpose of this section, the specification abstract and the invention title, and such simplifications or omissions cannot be used to limit the scope of the present invention.

[0005] In view of the above existing problems, the present invention is proposed.

[0006] Therefore, the present invention provides a slope type gravity energy storage system energy efficiency optimization design method, which can solve the problem that it is difficult to optimize the system parameters of the gravity energy storage system to improve the energy conversion efficiency of the system.

[0007] In order to solve the above technical problems, the present invention provides the following technical solutions: a slope-type gravity energy storage system energy efficiency optimization design method, the total energy efficiency η of carrying a mass block to complete a complete charge and discharge cycle during the operation of the slope-type gravity energy storage system L , specifically:

[0008] ηL =η Lc ×η Lr

[0009] Among them, η Lc is the energy efficiency of the whole process of transporting a mass block from the lower yard to the upper yard under the energy storage condition of the slope gravity energy storage system, η Lr It is the energy efficiency of the whole process of transporting a mass block from the upper yard to the lower yard under the condition of energy release of the slope gravity energy storage system;

[0010] The particle swarm algorithm is used to calculate the overall operating energy efficiency η of the slope gravity energy storage system. L The highest control variables, including the weight of a single mass block m, the number of motor pole pairs p, the first-stage transmission ratio u1 of the gearbox, the second-stage transmission ratio u2 of the gearbox, the sprocket pitch d, and the number of sprocket teeth n, are used as optimization variables for the optimal design of the entire ramp-type gravity energy storage system;

[0011] The energy efficiency of the slope gravity energy storage system in the whole process of transporting a mass block from the lower yard to the upper yard under the energy storage condition is η Lc , specifically:

[0012]

[0013] Among them, E in E is the energy stored by moving a mass block without considering the loss at rated power of the slope gravity energy storage system. Lc It is the energy consumption of the whole process of transporting a mass block from the lower yard to the upper yard of the slope gravity energy storage system under the energy storage condition;

[0014] The energy consumption of the whole process of moving a mass block from the lower yard to the upper yard in the slope gravity energy storage system under the energy storage condition is E Lc , whose expression is:

[0015] E Lc =E tc +E cc +E gc +E mc

[0016] Among them, E tc is the energy consumption between the carrier and the slope track under energy storage conditions, E cc is the energy consumption of the chain transmission mechanism under energy storage conditions, E gc is the energy consumption of the gearbox under energy storage conditions, E mc The energy consumption of the synchronous motor under energy storage conditions;

[0017] Energy consumption E generated between the carrier and the slope track under energy storage conditions tc , whose expression is:

[0018]

[0019] Among them, u t is the friction coefficient between the wheel and rail, m1 is the unloaded mass of the vehicle, g is the acceleration of gravity, θ is the inclination angle of the slope track relative to the horizontal plane, f is the grid frequency, t c It is the time taken to move a mass block from the lower storage yard to the upper storage yard under energy storage conditions;

[0020] Energy consumption E generated by the chain transmission mechanism under energy storage conditions cc , whose expression is:

[0021]

[0022] Among them, u e is the friction coefficient between the chain pin and the bushing, k e is the meshing loss coefficient;

[0023] Energy consumption E generated by the gearbox under energy storage conditions gc , whose expression is:

[0024]

[0025] Among them, u g is the friction coefficient between gear tooth surfaces;

[0026] Energy consumption E generated by synchronous motor under energy storage condition mc , whose expression is:

[0027]

[0028] Among them, k w is the wind wear loss coefficient, k f is the friction loss coefficient of the motor bearing, E Cu and E Fe are copper loss and iron loss respectively, E Cu and E Fe Can be approximately regarded as a constant.

[0029] The energy efficiency of the slope gravity energy storage system in the whole process of transporting a mass block from the upper yard to the lower yard under the energy release condition is η Lr , specifically:

[0030]

[0031] Among them, E Lr It is the energy consumption of the whole process of transporting a mass block from the upper yard to the lower yard under the condition of energy release of the slope gravity energy storage system;

[0032] The energy consumption E of the whole process of moving a mass block from the upper yard to the lower yard in the ramp gravity energy storage system under the energy release condition Lr , whose expression is:

[0033] E Lr =E tr +E cr +E gr +E mr

[0034] Among them, E tr is the energy consumption caused by friction between the carrier and the slope track under the energy release condition, E cr is the energy consumption of the chain transmission mechanism under the energy release condition, E gr is the energy consumption of the gearbox under energy release conditions, E mr It is the energy consumption of the synchronous motor under the energy release condition;

[0035] Energy consumption E generated by friction between the carrier and the slope track under energy release conditions tr , whose expression is:

[0036]

[0037] Among them, t r It is the time taken to move a mass block from the upper storage yard to the lower storage yard under the energy release condition;

[0038] Energy consumption E generated by the chain transmission mechanism under energy release conditions cr , whose expression is:

[0039]

[0040] Energy consumption E of gearbox under energy release condition gr , whose expression is:

[0041]

[0042] Energy consumption E of synchronous motor under energy release condition mr , whose expression is:

[0043]

[0044] Among them, E Cu1 and E Fe1 are copper loss and iron loss respectively, E Cu1 and E Fe1 Can be approximately regarded as a constant.

[0045] As a preferred solution of the energy efficiency optimization design method of the slope type gravity energy storage system of the present invention, the constraints of the energy efficiency optimization design method of the slope type gravity energy storage system include:

[0046] The number of synchronous motor pole pairs p should satisfy:

[0047] 2≤p≤8

[0048] The number of sprocket teeth n should satisfy:

[0049] 9≤n≤150

[0050] The sprocket pitch d should meet the following requirements:

[0051] 6.35mm≤d≤76.2mm

[0052] The first stage transmission ratio u1 of the gearbox should meet the following requirements:

[0053] 1≤u1≤15

[0054] The second stage transmission ratio u2 of the gearbox should meet the following requirements:

[0055] 1≤u2≤15

[0056] As a preferred solution of the energy efficiency optimization design method of the slope type gravity energy storage system of the present invention, the step of calculating the control variable by the particle swarm algorithm is:

[0057] S301: Under normal working conditions, the total energy efficiency η of the slope-type gravity energy storage system to move a mass block to complete a complete charge and discharge cycle during the operation of the slope-type gravity energy storage system L Defined as the objective function;

[0058] S302: Define the objective function η L Constraints of

[0059] S303: Initialization:

[0060] Input the particle swarm size, speed and position, energy efficiency optimization space, number of iterations, inertia weight, learning factor, energy efficiency calculation function, and randomly initialize the position and speed of each particle;

[0061] S304: Evaluate the current fitness value of each particle through the objective function, compare the current fitness value of each particle with its own individual historical best fitness value, and if the current fitness value is better, take the current position as the individual historical best position p best Otherwise, keep p best unchanged; find the particle with the best fitness value among all particles, compare the current fitness value of the particle with the global best fitness value in history, if the current fitness value is better, then take the current position as the global best position g best Otherwise, keep g best No change; update the position and velocity of each particle;

[0062] S305: Determine whether the maximum number of iterations has been reached, if so, execute step S306, if not, execute S304 again until the maximum number of iterations has been met;

[0063] S306: Output the optimal energy efficiency value and its corresponding control variable value, including the weight of a single mass block m, the number of motor pole pairs p, the first-stage transmission ratio u1 of the gearbox, the second-stage transmission ratio u2 of the gearbox, the sprocket pitch d, and the number of sprocket teeth n.

[0064] Compared with the prior art, the technical solution of the present invention has the following beneficial effects:

[0065] A method for optimizing the energy efficiency of a sloped gravity energy storage system is proposed. The method uses a swarm intelligence optimization algorithm to search for the optimal mass of the mass block, the number of motor pole pairs, the first-stage transmission ratio of the gearbox, the second-stage transmission ratio of the gearbox, the sprocket pitch, and the number of sprocket teeth. This method effectively solves the problem of coordinated optimization among multiple parameters in the design stage of gravity energy storage and provides a design basis for improving the energy efficiency of the sloped gravity energy storage system. BRIEF DESCRIPTION OF THE DRAWINGS

[0066] Figure 1 This is the energy efficiency calculation flow chart of the slope gravity energy storage system. DETAILED DESCRIPTION

[0067] In order to more clearly understand the above-mentioned objectives, features and advantages of the present invention, the present invention is further described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be noted that the embodiments of the present application and the features in the embodiments can be combined with each other without conflict.

[0068] In the following description, many specific details are set forth to facilitate a full understanding of the present invention. However, the present invention may also be implemented in other ways different from those described herein. Therefore, the protection scope of the present invention is not limited to the specific embodiments disclosed below.

[0069] For easier understanding, see Figure 1 The present invention provides an embodiment of a method for optimizing energy efficiency of a slope-type gravity energy storage system, comprising:

[0070] S1: The total energy efficiency η of carrying a mass block to complete a complete charge and discharge cycle during the operation of the ramp gravity energy storage system is obtained through theoretical derivation L The mathematical model of η L The mathematical model is used as the objective function of particle swarm optimization, and the specific derivation process is as follows:

[0071] η L =η Lc ×η Lr

[0072] Among them, ηLc is the energy efficiency of the whole process of transporting a mass block from the lower yard to the upper yard under the energy storage condition of the slope gravity energy storage system, η Lr It is the energy efficiency of the whole process of transporting a mass block from the upper yard to the lower yard under the condition of energy release of the slope gravity energy storage system;

[0073] where η Lc The specific derivation process is:

[0074]

[0075] Among them, E in E is the energy stored by moving a mass block without considering the loss at rated power of the slope gravity energy storage system. Lc It is the energy consumption of the whole process of transporting a mass block from the lower yard to the upper yard of the slope gravity energy storage system under the energy storage condition;

[0076] The energy consumption of the whole process of moving a mass block from the lower yard to the upper yard in the slope gravity energy storage system under the energy storage condition is E Lc , whose expression is:

[0077] E Lc =E tc +E cc +E gc +E mc

[0078] Among them, E tc is the energy consumption between the carrier and the slope track under energy storage conditions, E cc is the energy consumption of the chain transmission mechanism under energy storage conditions, E gc is the energy consumption of the gearbox under energy storage conditions, E mc The energy consumption of the synchronous motor under energy storage conditions;

[0079] Energy consumption E generated between the carrier and the slope track under energy storage conditions tc , whose expression is:

[0080]

[0081] Among them, u t is the friction coefficient between the wheel and rail, m1 is the unloaded mass of the vehicle, g is the acceleration of gravity, θ is the inclination angle of the slope track relative to the horizontal plane, f is the grid frequency, t c It is the time taken to move a mass block from the lower storage yard to the upper storage yard under energy storage conditions;

[0082] Energy consumption E generated by the chain transmission mechanism under energy storage conditions cc , whose expression is:

[0083]

[0084] Among them, u e is the friction coefficient between the chain pin and the bushing, k e is the meshing loss coefficient;

[0085] Energy consumption E generated by the gearbox under energy storage conditions gc , whose expression is:

[0086]

[0087] Among them, u g is the friction coefficient between gear tooth surfaces;

[0088] Energy consumption E generated by synchronous motor under energy storage condition mc , whose expression is:

[0089]

[0090] Among them, k w is the wind wear loss coefficient, k f is the friction loss coefficient of the motor bearing, E Cu and E Fe are copper loss and iron loss respectively, E Cu and E Fe Can be approximately regarded as a constant.

[0091] The energy efficiency of the slope gravity energy storage system in the whole process of transporting a mass block from the upper yard to the lower yard under the energy release condition is η Lr , specifically:

[0092]

[0093] Among them, E Lr It is the energy consumption of the whole process of transporting a mass block from the upper yard to the lower yard under the condition of energy release of the slope gravity energy storage system;

[0094] The energy consumption E of the whole process of moving a mass block from the upper yard to the lower yard in the ramp gravity energy storage system under the energy release condition Lr , whose expression is:

[0095] E Lr =E tr +E cr +E gr +E mr

[0096] Among them, E tr is the energy consumption caused by friction between the carrier and the slope track under the energy release condition, E cr is the energy consumption of the chain transmission mechanism under the energy release condition, E gris the energy consumption of the gearbox under energy release conditions, E mr It is the energy consumption of the synchronous motor under the energy release condition;

[0097] Energy consumption E generated by friction between the carrier and the slope track under energy release conditions tr , whose expression is:

[0098]

[0099] Among them, t r It is the time taken to move a mass block from the upper storage yard to the lower storage yard under the energy release condition;

[0100] Energy consumption E generated by the chain transmission mechanism under energy release conditions cr , whose expression is:

[0101]

[0102] Energy consumption E of gearbox under energy release condition gr , whose expression is:

[0103]

[0104] Energy consumption E of synchronous motor under energy release condition mr , whose expression is:

[0105]

[0106] Among them, E Cu1 and E Fe1 are copper loss and iron loss respectively, E Cu1 and E Fe1 Can be approximately regarded as a constant.

[0107] S2: Set the optimization variables of the particle swarm optimization algorithm, including the weight of a single mass block m, the number of motor pole pairs p, the first-stage transmission ratio u1 of the gearbox, the second-stage transmission ratio u2 of the gearbox, the sprocket pitch d, and the number of sprocket teeth n. The constraints of the optimization variables include:

[0108] The number of synchronous motor pole pairs p should satisfy:

[0109] 2≤p≤8

[0110] The number of sprocket teeth n should satisfy:

[0111] 9≤n≤150

[0112] The sprocket pitch d should meet the following requirements:

[0113] 6.35mm≤d≤76.2mm

[0114] The first stage transmission ratio u1 of the gearbox should meet the following requirements:

[0115] 1≤u1≤15

[0116] The second stage transmission ratio u2 of the gearbox should meet the following requirements:

[0117] 1≤u2≤15

[0118] S3: Initialize the particle swarm algorithm parameters, input the particle swarm size, speed and position, energy efficiency optimization space, number of iterations, inertia weight, learning factor, energy efficiency calculation function, and randomly initialize the position and speed of each particle;

[0119] S4: Evaluate the current fitness value of each particle through the objective function, compare the current fitness value of each particle with its own individual historical best fitness value, if the current fitness value is better, take the current position as the individual historical best position p best Otherwise, keep p best unchanged; find the particle with the best fitness value among all particles, compare the current fitness value of the particle with the global best fitness value in history, if the current fitness value is better, then take the current position as the global best position g best Otherwise, keep g best No change; update the position and velocity of each particle;

[0120] S5: Determine whether the maximum number of iterations has been reached, if so, execute step S6, if not, execute S4 again until the maximum number of iterations is met;

[0121] S6: Output the optimal energy efficiency value and its corresponding control variable value, including the weight of a single mass block m, the number of motor pole pairs p, the first-stage transmission ratio u1 of the gearbox, the second-stage transmission ratio u2 of the gearbox, the sprocket pitch d, and the number of sprocket teeth n.

[0122] In summary, the present invention proposes a method for optimizing the energy efficiency of a sloped gravity energy storage system, which uses a swarm intelligence optimization algorithm to search for the optimal mass of the mass block, the number of motor pole pairs, the first-stage transmission ratio of the gearbox, the second-stage transmission ratio of the gearbox, the sprocket pitch, and the number of sprocket teeth. It effectively solves the problem of coordinated optimization among multiple parameters in the design stage of gravity energy storage, and provides a design basis for improving the energy efficiency of the sloped gravity energy storage system.

Claims

1. A method for optimizing the energy efficiency of a slope gravity energy storage system, characterized in that: include: Design the total energy efficiency η of a ramp-type gravity energy storage system to move a mass block to complete a complete charge and discharge cycle during operation. L , specifically: or L =the Lc ×h Lr ; Among them, η Lc is the energy efficiency of the whole process of transporting a mass block from the lower yard to the upper yard under the energy storage condition of the slope gravity energy storage system, η Lr It is the energy efficiency of the whole process of transporting a mass block from the upper yard to the lower yard under the condition of energy release of the slope gravity energy storage system; The particle swarm algorithm is used to calculate the overall operating energy efficiency η of the slope gravity energy storage system. L The highest control variable; used for energy efficiency optimization design of the entire slope gravity energy storage system; Design the energy consumption E of the whole process of transporting a mass block from the lower yard to the upper yard under the energy storage condition. Lc , whose expression is: AND Lc =And tc +E cc +E gc +E mc ; Among them, E tc is the energy consumption between the carrier and the slope track under energy storage conditions, E cc is the energy consumption of the chain transmission mechanism under energy storage conditions, E gc is the energy consumption of the gearbox under energy storage conditions, E mc It is the energy consumption of synchronous motor under energy storage condition. The particle swarm algorithm is used to calculate the control variables, which specifically includes the following steps: S301: Under normal working conditions, the total energy efficiency η of the slope-type gravity energy storage system to move a mass block to complete a complete charge and discharge cycle during the operation of the slope-type gravity energy storage system L As the objective function; S302: define constraints; S303: Initialize the particle swarm parameters, including setting the particle swarm size, number of iterations, weight coefficient, learning factor, and randomly initialize the position and speed of each particle; S304: Evaluate the current fitness value of each particle through the objective function, compare the current fitness value of each particle with its own individual historical best fitness value, and if the current fitness value is better, take the current position as the individual historical best position p best Otherwise, keep p best unchanged; find the particle with the best fitness value among all particles, compare the current fitness value of the particle with the global best fitness value in history, if the current fitness value is better, then take the current position as the global best position g best Otherwise, keep g best No change; update the position and velocity of each particle; S305: Determine whether the maximum number of iterations has been reached, if so, execute step S306, if not, execute S304 again until the maximum number of iterations has been met; S306: Output the optimal energy efficiency value and its corresponding control variable value, including the weight of a single mass block m, the number of motor pole pairs p, the first-stage transmission ratio u1 of the gearbox, the second-stage transmission ratio u2 of the gearbox, the sprocket pitch d, and the number of sprocket teeth n.

2. The method for optimizing the energy efficiency of a slope-type gravity energy storage system according to claim 1, characterized in that: The energy efficiency of the slope gravity energy storage system in the whole process of transporting a mass block from the lower yard to the upper yard under the energy storage condition is η Lc The expression is: Among them, E in is the energy stored by the ramp gravity energy storage system when moving a mass block without considering the loss at the rated power of the system, E Lc It is the energy consumption of the whole process of transporting a mass block from the lower yard to the upper yard of the slope gravity energy storage system under the energy storage condition.

3. The method for optimizing the energy efficiency of a slope-type gravity energy storage system according to claim 1, characterized in that: In step S302, the constraints include: The number of synchronous motor pole pairs p should satisfy: 2≤p≤8； The number of sprocket teeth n should satisfy: 9≤n≤1th; The sprocket pitch d should meet the following requirements: 6.3tmm≤d≤76.2mm; The first stage transmission ratio u1 of the gearbox should meet the following requirements: 1≤u1≤1t; The second stage transmission ratio u2 of the gearbox should meet the following requirements: 1≤u2≤1t.

4. The method for optimizing the energy efficiency of a slope-type gravity energy storage system according to claim 1, characterized in that: The energy consumption E generated between the carrier vehicle and the slope track under the energy storage condition tc , whose expression is: Among them, u t is the friction coefficient between the wheel and rail, m1 is the unloaded mass of the vehicle, g is the acceleration of gravity, θ is the inclination angle of the slope track relative to the horizontal plane, f is the grid frequency, t c is the time taken to move a mass block from the lower stockpile to the upper stockpile under energy storage conditions; p is the number of synchronous motor pole pairs; m is the weight of a single mass block; n is the number of sprocket teeth; d is the sprocket pitch.

5. The method for optimizing the energy efficiency of a slope-type gravity energy storage system according to claim 4, characterized in that: Energy consumption E generated by the chain transmission mechanism under energy storage conditions cc , whose expression is: Among them, u e is the friction coefficient between the chain pin and the bushing, k e is the meshing loss coefficient.

6. The method for optimizing the energy efficiency of a slope-type gravity energy storage system according to claim 5, characterized in that: Energy consumption E generated by the gearbox under energy storage conditions gc , whose expression is: Among them, u g is the friction coefficient between gear tooth surfaces.

7. The method for optimizing the energy efficiency of a slope-type gravity energy storage system according to claim 6, characterized in that: Energy consumption E generated by synchronous motor under energy storage condition mc , whose expression is: Among them, k w is the wind wear loss coefficient, k f is the motor bearing friction loss coefficient, E Cu and E Fe are copper loss and iron loss respectively, E Cu and E Fe Can be approximately regarded as a constant.

8. The method for optimizing the energy efficiency of a slope-type gravity energy storage system according to claim 1, characterized in that: The energy efficiency of the slope gravity energy storage system in the whole process of transporting a mass block from the upper yard to the lower yard under the energy release condition is η Lr , specifically: Among them, E in is the energy stored by the ramp gravity energy storage system when moving a mass block without considering the loss at the rated power of the system, E Lc is the energy consumption of the whole process of transporting a mass block from the lower yard to the upper yard of the slope gravity energy storage system under the energy storage condition; E Lr It is the energy consumption of the whole process of transporting a mass block from the upper yard to the lower yard under the energy release condition of the slope gravity energy storage system.

9. The method for optimizing the energy efficiency of a slope-type gravity energy storage system according to claim 8, characterized in that: The energy consumption of the slope gravity energy storage system in the whole process of moving a mass block from the upper yard to the lower yard under the energy release condition is E Lr The expression is: AND Lr =And tr +E cr +E gr +E mr ; Among them, E tr is the energy consumption caused by friction between the carrier and the slope track under the energy release condition, E cr is the energy consumption of the chain transmission mechanism under the energy release condition, E gr is the energy consumption of the gearbox under energy release conditions, E mr It is the energy consumption of the synchronous motor under the energy release condition; Energy consumption E generated by friction between the carrier and the slope track under energy release conditions tr , whose expression is: Among them, u t is the friction coefficient between the wheel and rail, m1 is the unloaded mass of the carrier, g is the acceleration of gravity, θ is the inclination angle of the ramp track relative to the horizontal plane, f is the grid frequency, r is the time taken to move a mass block from the upper yard to the lower yard under the energy release condition; m is the weight of a single mass block; p is the number of synchronous motor pole pairs; m is the weight of a single mass block; n is the number of sprocket teeth; d is the sprocket pitch; Energy consumption E generated by the chain transmission mechanism under energy release conditions cr , whose expression is: In the formula, u e is the friction coefficient between the chain pin and the bushing, k e is the meshing loss coefficient; Energy consumption E of gearbox under energy release condition gr , whose expression is: In the formula, u g is the friction coefficient between gear tooth surfaces; Energy consumption E of synchronous motor under energy release condition mr , whose expression is: Among them, E Cu1 and E Fe1 are copper loss and iron loss respectively, E Cu1 and E Fe1 Can be approximately regarded as a constant, k w is the wind wear loss coefficient, k f is the friction loss coefficient of the motor bearing.

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