Control method of intelligent interactive system with vehicular network multi-system fusion
A technology of intelligent interaction and control method, which is applied in the field of intelligent interaction system and its control, can solve the problems of increasing number of electric vehicles, influence of power grid system and traffic system, drivers' inability to make reasonable travel arrangements, etc., so as to prevent local load of power grid from being too high , alleviate the contradiction of long charging time, and ensure the effect of efficient and safe operation
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Embodiment 1
[0021] Embodiment 1: Estimating the remaining mileage of electric vehicles
[0022] 1. The roadside base station 4 detects road condition information in real time and sends it to the traffic monitoring center 1 and the electric vehicle 3;
[0023] 2. The on-board monitoring system 31 of the electric vehicle 3 obtains the current vehicle condition information of the electric vehicle 3 itself in real time, and sends it to the traffic through the on-board wireless communication system 31 (which is omitted for brevity in the following description) via the roadside base station 4. Monitoring center 1; the vehicle condition information at this time mainly includes the state of charge of the battery, current location, destination location, energy consumption of on-board electrical appliances, braking energy recovery efficiency, and vehicle parameters; vehicle parameters mainly include tire pressure, number of passengers, aerodynamic academic performance, etc.;
[0024] 3. The traffi...
Embodiment 2
[0026] Example 2: Forecasting the charging demand of large-scale electric vehicles and the safety regulation of power grid system load
[0027] 1. Each communication base station 51 sends the current power load information of the charging station 5 to the grid monitoring center 2;
[0028] 2. The power grid monitoring center 2 obtains the power grid load of the entire power grid according to the power load information of each charging station 5, and sends it to the traffic monitoring center 1;
[0029] 3. The on-board monitoring system 31 of each electric vehicle 3 obtains the current vehicle condition information of the electric vehicle 3 in real time, and sends it to the traffic monitoring center 1 through the roadside base station 4; the vehicle condition information at this time mainly includes which charging mode to choose, the intended purpose location, pre-selected charging station 6 locations, and driver historical charging information.
[0030] 4. The roadside base s...
Embodiment 3
[0033] Example 3: Recommending optimal charging station locations and corresponding optimal driving routes for electric vehicles
[0034] 1. Each communication base station 51 detects the current power load information of the charging station 5 and sends it to the grid monitoring center 2;
[0035] 2. The power grid monitoring center 2 obtains the power grid load of the entire power grid according to the power load information of each charging station 5, and sends it to the traffic monitoring center 1;
[0036] 3. The on-board monitoring system 31 of each electric vehicle 3 acquires the vehicle condition information of the current electric vehicle 3 in real time, and sends it to the traffic monitoring center 1 through the roadside base station 4; the vehicle condition information at this time mainly includes the battery power, the current position of the vehicle, the driver charging needs and destinations;
[0037] 4. The roadside base station 4 detects road condition informa...
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