CN115130727A - Night charging scheduling method for new-energy pure-electric bus - Google Patents
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Abstract
The invention provides a night charging scheduling method for a new energy bus, which is based on the residual electric quantity, the driving mileage, the output power during charging and the next day operation scheduling schedule of charging scheduling acquired by a new energy bus and a vehicle-mounted computer. The manpower is saved, and the dispatching requirement of the public transport in the non-operation stage is met.
Description
Technical Field
The invention relates to the technical field of intelligent management of charging of a new-energy pure electric bus, in particular to the management and scheduling of ensuring the minimization of night charging cost and the reasonable distribution of night charging work of a new-energy bus to be charged.
Background
With the increasing importance of energy conservation and environmental protection in all social circles, new energy represented by wind and light is gradually popularized in recent years, the occupation ratio of the new energy in the total annual power generation amount is increased year by year, and meanwhile, the new energy electric automobile is popularized in a large scale. The new energy public transport ratio is continuously improved, and the trend of adopting pure electric buses is stronger and stronger. However, the driving range of the pure electric bus is limited, and a large number of vehicles need to be charged at night, so that the charging mode at night is that the vehicles are charged immediately, the vehicles are charged disorderly, the advantage that the electricity price in the time period is not well utilized at the bottom of the electricity price valley at night can be caused, and meanwhile, the charging pile can be used without reasonable maximum benefit. The charging at night is insufficient, so that when the pure electric bus is used in daily operation, the operation task of one day is difficult to complete under the condition of no charging, and the operation capacity of the pure electric bus can not be fully exerted. In the prior art, a dispatcher judges whether to charge a vehicle according to experience to finish an operation plan, and meanwhile, a principle of first arrival and current charge is kept, and the charge can not be automatically calculated according to a second day operation plan of the vehicle and the current residual electric quantity of the vehicle to generate a scheduling plan, namely disordered charge. Unordered charging increases the work load of the night charger worker, makes the energy waste more serious simultaneously, can not guarantee the required electric energy of next day operation plan, causes the influence to public transit operation efficiency.
The core of the night charging scheduling problem is the minimization of charging cost and the reasonable distribution management of night chargers. Under the conditions of dynamic power demand and fluctuating electricity prices, the influence of night electricity price valley charging on the running power cost of the bus is great. Because the electric energy consumption of the electric bus charging station is large, the reasonable arrangement of the charging time is crucial to reduce the electric energy cost and the labor cost to the utmost extent.
On the basis, how to ensure the minimization of the night charging cost of the new energy bus to be charged and the reasonable distribution management of night chargers, and meanwhile, the problems that the new energy bus operation requirement on the next day is met and the like are generated.
Disclosure of Invention
Aiming at the defects in the prior art, the invention provides a night charging scheduling strategy for a new energy bus, and solves the problems of disordered charging, low efficiency, unbalanced resource distribution and the like of the existing new energy bus charging station.
The scheme adopted by the invention for solving the technical problem is as follows: a night charging scheduling method for a new-energy pure-electric bus comprises the steps of recording the remaining SOC, the daily mileage and the power consumption of each bus according to a vehicle-mounted machine, sequentially using the buses entering a charging field as evaluation objects, judging whether charging is needed according to the remaining electric quantity of the buses, the next-day scheduling schedule of the charging schedule and the traveling mileage, generating a night scheduling schedule, screening and preprocessing basic data of a bus station, namely, removing and filling abnormal empty value data of the bus charging field station, calculating the charging time of each bus needing charging at night at each charging gun, constructing a charging time matrix, and generating a scheduling scheme by a minimized charging scheduling logic algorithm; the algorithm model is deployed in a server, RESTFUL algorithm POST request service based on HTTP1.1 is constructed, the charging scheduling algorithm is called remotely, and a bus night charging scheduling schedule is obtained.
The method comprises the following steps:
and S1, recording the remaining SOC (state of charge), the driving mileage of the day and the power consumption of each bus by the vehicle-mounted unit, sequentially taking the buses entering the charging field as evaluation objects, and judging whether charging is needed or not according to the current remaining power, the next-day shift schedule and the driving mileage.
S2, initializing parameters, screening out buses needing to be charged, calculating the time required by each bus to reach the predicted SOC according to the hourly output power of each charging gun by using a formula (1), and constructing a charging matrix (2);
the input data is:
n is the total amount of buses needing to be charged at night;
m is the total amount of the charging guns of the bus station;
k is night charging round k ═ int (n/m) + 1;
CAP i the battery capacity of the electric bus with the number i;
power j the power output by a charging pile j belongs to {1,2, …, m };
the constraint conditions are as follows:
minP j ≤Power j ≤maxP max and ensuring that the charging power of each bus is required to be within the allowable range of the charging pile.
S3, inputting the SOC values of the vehicles to be scheduled, sorting the vehicles in a descending order, wherein the number of the vehicles to be charged is n, the number of the charging piles available at the bus station is m, if n < ═ m, the charging at night can be finished in one round, the minimum charging time of each vehicle in each charging pile is sequentially judged, namely, the bus needing the SOC value of the maximum charging amount can be fully charged in the shortest time, and the optimal output power of the charging piles is selected; if n > m, S4 is executed.
S4, if n > m, and n% m! When the charging is carried out for the first round, the charging is carried out for the second round, the charging is carried out for the first round, the charging time of the first round is determined, the charging time of the second round is determined, the charging time of the first round is determined, the charging time of the second round is determined, the charging time of the first round is determined, and the charging time of the first round is determined. And when the number of the vehicles to be scheduled is the kth turn, n% m vehicles are required to be scheduled, the vehicles are sorted in a descending order, m x (k-1) to n buses charge the kth turn, the minimum charging time of each bus in each charging pile is sequentially judged, namely, the bus requiring the maximum charging capacity SOC value can be fully charged in the shortest time, the optimal charging pile output power is selected, and a charging schedule for charging each turn at night is sequentially output.
And S5, if n is larger than m, the balance between n and m is 0, night charging is performed for k rounds, the SOC values of the vehicles in the shift are input, the vehicles from the first 0 to the m are charged according to descending order, the minimum charging time of each vehicle in each charging pile is sequentially judged, namely, the bus needing the SOC value of the maximum charging amount can be fully charged in the shortest time, the optimal output power of the charging pile is selected, the second round of charging and the first round of charging are the same, and a charging schedule for charging each round at night is output until the kth round is finished.
Furthermore, the server sets time to collect the residual SOC of the bus of the new energy bus station every day and the operation scheduling plan of the next day, the residual SOC of the bus of the charging station, the battery capacity, the output power of the charging pile and 4 paths of information of the scheduling plan of the next day are used as input quantity, the output is the night charging scheduling plan, the minimization of the night charging cost of the new energy bus to be charged and the reasonable distribution management of night chargers are guaranteed according to the practical situation of the bus station at night, meanwhile, the problems of meeting the operation requirements of the new energy bus of the second day and the like are solved, the minimum charging time is guaranteed, the night chargers are enabled to schedule more reasonably, the night charging scheduling plan of the night chargers is generated, and the scheduling of charge scheduling personnel of the bus station is facilitated.
The invention has the beneficial effects that:
1) the new energy bus charging scheduling platform is integrated and comprises a bus-mounted machine data acquisition module, a charging pile output power module, a charging scheduling next-day operation scheduling plan module, a server night scheduling strategy module and an alarm module.
2) Based on the residual electric quantity, the driving mileage, the output power during charging and the next day operation scheduling schedule collected by the new energy bus and the vehicle-mounted unit, the invention ensures the minimization of the night charging cost of the new energy bus to be charged and the reasonable distribution management of night chargers according to the night actual conditions of the bus station, simultaneously meets the problems of next day new energy bus operation requirements and the like, realizes the purpose of ensuring the minimum charging time, simultaneously ensures the night chargers to perform scheduling more reasonably, generates the night charging scheduling schedule and is convenient for the scheduling of charge scheduling personnel of the bus station.
Drawings
FIG. 1 is a block diagram of the system of the present invention;
FIG. 2 is a flowchart of the night charging scheduling process of the new energy bus;
fig. 3 is a night charging shift schedule table according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without inventive effort based on the embodiments of the present invention, are within the scope of the present invention.
Example 1: the method comprises the steps of recording the remaining SOC (state of charge), the driving mileage of the day and the power consumption of each bus according to a vehicle-mounted machine, sequentially taking the buses entering a charging field as evaluation objects, judging whether charging is needed according to the remaining electric quantity of the buses, a next-day shift schedule and the driving mileage, and generating a night shift schedule. The night charging scheduling plan is applicable to the night charging scheduling plan of the current urban new energy bus charging station, based on the residual electric quantity collected by the new energy bus and the vehicle-mounted machine, the driving mileage, the output power of the charging pile, the next day operation scheduling plan table and the night charging scheduling plan table are generated, and the scheduling of the bus station charging scheduling personnel is facilitated.
The system is shown in fig. 1 and respectively comprises a vehicle-mounted machine module, a new energy bus charging scheduling platform, a bus shift scheduling algorithm generation schedule module, a charging pile power module, a server (night scheduling strategy) and an alarm module. And each module establishes a communication relation with the new energy bus charging scheduling platform, and the new energy bus charging scheduling platform uploads data to the server and returns a scheduling schedule from the server.
The method comprises the following steps as shown in figure 2.
S1, recording the remaining SOC, the driving mileage of the same day and the power consumption of each bus by the vehicle-mounted machine, sequentially taking the buses entering the charging field as evaluation objects, and judging whether charging is needed or not according to the current remaining power, the next-day shift schedule and the driving mileage;
s2, initializing parameters, screening out buses needing to be charged, calculating the time required by each bus to reach the predicted SOC according to the hourly output power of each charging gun by using a formula (1), and constructing a charging matrix (2);
the input data is:
n is the total amount of buses needing to be charged at night;
m is the total amount of the charging guns of the bus station;
k is night charging turns k ═ int (n/m) + 1;
CAP i the battery capacity of the electric bus with the number i;
power j the power output by the charging pile j belongs to {1,2, …, m };
the constraint conditions are as follows:
minP j ≤Power j ≤maxP max and ensuring that the charging power of each bus is required to be within the allowable range of the charging pile.
S3, inputting the SOC values of the vehicles to be placed on duty, sorting the vehicles in a descending order, wherein the number of the vehicles to be placed on duty is n, the number of the available charging piles at the bus station is m, if n < ═ m, the charging at night can be finished by one round, the minimum charging time of each vehicle in each charging pile is sequentially judged, namely, the bus needing the SOC value with the maximum charging amount can be fully placed in the shortest time, and the optimal charging pile output power is selected; if n > m, S4 is executed.
And S4, if n is larger than m and the residue of n and m is not 0, charging at night is performed for k rounds, the SOC values of the vehicles in the shift are input, the vehicles are sorted in a descending order, the first 0 to m vehicles are charged for the first round, the minimum charging time of each vehicle in each charging pile is sequentially judged, namely the bus needing the SOC value of the maximum charging amount can be fully charged in the shortest time, the optimal output power of the charging pile is selected, and the charging steps of the second round are the same as those of the first round. And when the number of the vehicles to be scheduled is the kth turn, n% m vehicles are required to be scheduled, the vehicles are sorted in a descending order, m × k-1 to n buses charge the kth turn, the minimum charging time of each bus in each charging pile is sequentially judged, namely, the bus needing the maximum charging quantity SOC value can be fully charged in the shortest time, the optimal charging pile output power is selected, and the charging schedule of each turn charged at night is sequentially output.
And S5, if n is larger than m and the sum of n and m is 0, the night charging is performed for k rounds, the SOC values of the vehicles in the shift are input, the vehicles in the shift are sorted in a descending order, the first 0 to m vehicles are charged for the first round, the minimum charging time of each vehicle in each charging pile is sequentially judged, namely the bus needing the SOC value of the maximum charging amount can be fully charged in the shortest time, the optimal charging pile output power is selected, the second round charging and the first round charging are performed in the same step until the k round is finished, and the charging schedule of each round of night charging is output.
S6, the server sets time to collect the residual SOC of the new energy bus at the new energy bus station every day and the next day operation scheduling plan, the residual SOC of the bus at the charging station, the battery capacity, the output power of the charging pile and 4 paths of information of the next day scheduling plan are used as input quantity, the output is the night charging scheduling plan, the minimization of the night charging cost of the new energy bus to be charged and the reasonable distribution management of night chargers are guaranteed according to the night actual situation of the bus station, meanwhile, the problems of meeting the next day new energy bus operation requirements and the like are solved, the charging time is guaranteed to be minimum, meanwhile, the night charger scheduling is more reasonable, the night charging scheduling plan is generated, and the scheduling of the bus station charging scheduler is facilitated.
The design process of the invention comprises the following steps: firstly, screening and preprocessing basic data of a bus station, namely the output power of a charging pile and bus battery capacity data, then calculating the charging time of each bus needing to be charged at night at each charging gun, constructing a charging time matrix, and generating a scheduling scheme by a scheduling logic algorithm. The algorithm model is deployed in a server, an HTTP1.1 algorithm RESTFUL service is constructed by using a flash, and the algorithm is called remotely, so that a bus night charging scheduling schedule can be obtained, as shown in FIG. 3.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and should not be taken as limiting the scope of the present invention, which is intended to cover any modifications, equivalents, improvements, etc. within the spirit and scope of the present invention.
Claims (3)
1. A new energy pure electric bus night charging scheduling method includes the steps that residual SOC, traveling mileage of the same day and power consumption of each bus are recorded according to a vehicle-mounted machine, the buses entering a charging field are sequentially used as evaluation objects, whether charging is needed or not is judged according to the residual electric quantity of the vehicles, the traveling mileage of the next day of charging scheduling and the traveling mileage, and a night scheduling schedule is generated; the method comprises the steps of deploying an algorithm model in a server, constructing RESTFUL algorithm POST request service based on HTTP1.1, and remotely calling a charging scheduling algorithm to obtain a bus night charging scheduling schedule.
2. The night charging scheduling method for the new-energy pure electric bus according to claim 1, characterized by comprising the following steps:
s1, recording the remaining SOC, the current driving mileage and the power consumption of each bus by the vehicle-mounted machine, sequentially taking the buses entering the charging field as evaluation objects, and judging whether charging is needed or not according to the current remaining power, the next-day shift schedule and the driving mileage;
s2, initializing parameters, screening out buses needing to be charged, calculating the time required by each bus to reach the predicted SOC according to the hourly output power of each charging gun by using a formula (1), and constructing a charging matrix (2);
the input data is:
n is the total amount of buses needing to be charged at night;
m is the total amount of the charging guns of the bus station;
k is night charging round k ═ int (n/m) + 1;
CAP i the battery capacity of the electric bus with the number i;
power j the power output by a charging pile j belongs to {1,2, …, m };
the constraint conditions are as follows:
minP j ≤Power j ≤maxP max ensuring that the charging power of each bus is required to be within the allowable range of the charging pile;
s3, inputting the SOC values of the vehicles to be scheduled, sorting the vehicles in a descending order, wherein the number of the vehicles to be charged is n, the number of the charging piles available at the bus station is m, if n < ═ m, the charging at night can be finished in one round, the minimum charging time of each vehicle in each charging pile is sequentially judged, namely, the bus needing the SOC value of the maximum charging amount can be fully charged in the shortest time, and the optimal output power of the charging piles is selected; if n > m, perform S4;
s4, if n is larger than m and the surplus of n and m is not 0, the night charging is k rounds, the SOC values of the vehicles in shift are input, the vehicles are sorted in a descending order, the first 0 to m vehicles are charged for the first round, the minimum charging time of each vehicle in each charging pile is sequentially judged, namely the bus needing the SOC value of the maximum charging amount can be fully charged in the shortest time, the optimal output power of the charging pile is selected, and the second round charging and the first round charging are the same; until the current time is the kth, n% m vehicles to be dispatched are sorted according to a descending order, m × k-1 to n buses charge the kth round, the minimum charging time of each bus in each charging pile is sequentially judged, namely, the bus needing the maximum charging quantity SOC value can be fully charged in the shortest time, the optimal charging pile output power is selected, and a charging schedule for charging each round at night is sequentially output;
and S5, if n is larger than m and the sum of n and m is 0, the night charging is performed for k rounds, the SOC values of the vehicles in the shift are input, the vehicles in the shift are sorted in a descending order, the first 0 to m vehicles are charged for the first round, the minimum charging time of each vehicle in each charging pile is sequentially judged, namely the bus needing the SOC value of the maximum charging amount can be fully charged in the shortest time, the optimal charging pile output power is selected, the second round charging and the first round charging are performed in the same step until the k round is finished, and the charging schedule of each round of night charging is output.
3. The night charging scheduling method of the new-energy pure electric bus according to claim 2, characterized in that the server sets time to collect the remaining SOC of the bus at the new-energy bus station every day and the operation scheduling plan on the next day, and takes the remaining SOC of the bus at the charging station, the battery capacity, the output power of the charging pile and 4 paths of information of the scheduling plan table on the next day as input quantity, and the output is the night charging scheduling plan table.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116862205A (en) * | 2023-09-04 | 2023-10-10 | 安徽交欣科技股份有限公司 | Electric bus charging management method, system, device and storage medium |
| CN116872776A (en) * | 2023-06-21 | 2023-10-13 | 隆瑞三优新能源汽车科技有限公司 | Bus charging power distribution method and device, electronic equipment and medium |
| CN117087482A (en) * | 2023-06-03 | 2023-11-21 | 隆瑞三优新能源汽车科技有限公司 | New energy bus charging time control method, device, equipment and medium |
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2022
- 2022-05-27 CN CN202210603004.3A patent/CN115130727A/en active Pending
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117087482A (en) * | 2023-06-03 | 2023-11-21 | 隆瑞三优新能源汽车科技有限公司 | New energy bus charging time control method, device, equipment and medium |
| CN116872776A (en) * | 2023-06-21 | 2023-10-13 | 隆瑞三优新能源汽车科技有限公司 | Bus charging power distribution method and device, electronic equipment and medium |
| CN116872776B (en) * | 2023-06-21 | 2024-05-14 | 隆瑞三优新能源汽车科技有限公司 | Bus charging power distribution method and device, electronic equipment and medium |
| CN116862205A (en) * | 2023-09-04 | 2023-10-10 | 安徽交欣科技股份有限公司 | Electric bus charging management method, system, device and storage medium |
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