Hybrid electric vehicle speed reducer load spectrum compilation method, medium and equipment
A technology for electric vehicles and hybrids, which is applied in the field of load spectrum compilation of hybrid electric vehicle reducers, and can solve the problems of preparation methods of core component reducers and few applied researches.
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Embodiment 1
[0089] This embodiment discloses a method for preparing a load spectrum of a reducer for a hybrid electric vehicle, such as figure 1 As shown in , the method includes:
[0090] S1. Obtain the load data of the hybrid electric vehicle under various typical road conditions.
[0091] In this embodiment, the load data of the actual various working conditions of the hybrid electric vehicle can be collected by connecting the CAN bus; the load data includes the engine torque load, the drive motor torque load, the gear signal and the vehicle speed signal, specifically shown as load- time history data. In this embodiment, the engine torque signal and the drive motor torque signal of the vehicle at different gear positions and different vehicle speeds are collected through the CAN bus.
[0092] There are two types of implementation, and the typical road conditions include: urban road conditions, provincial road conditions, mountain road conditions and expressway conditions.
[0093] S...
Embodiment 2
[0201] This embodiment discloses a storage medium, which stores a program. When the program is executed by a processor, the method for preparing the load spectrum of the hybrid electric vehicle reducer described in Embodiment 1 is implemented, as follows:
[0202] S1. Obtain the load data of hybrid electric vehicles under various typical road conditions;
[0203] S2. Preprocessing the load data;
[0204] S3. Classify the load data according to the power source mode and road conditions;
[0205] S4. According to the classification results of the load data, the characteristic parameters of the load data are calculated, and then the optimal number of samples under various working conditions of the hybrid electric vehicle is determined;
[0206]S5. Determine the torque load samples of the reducer under each road condition according to the optimal number of samples of the hybrid electric vehicle under various working conditions, and obtain the optimal sample load of the engine and...
Embodiment 3
[0214] This embodiment discloses a computing device, including a processor and a memory for storing executable programs of the processor. When the processor executes the program stored in the memory, the hybrid electric vehicle speed reducer load described in Embodiment 1 is realized. The spectrum preparation method is as follows:
[0215] S1. Obtain the load data of hybrid electric vehicles under various typical road conditions;
[0216] S2. Preprocessing the load data;
[0217] S3. Classify the load data according to the power source mode and road conditions;
[0218] S4. According to the classification results of the load data, the characteristic parameters of the load data are calculated, and then the optimal number of samples under various working conditions of the hybrid electric vehicle is determined;
[0219] S5. Determine the torque load samples of the reducer under each road condition according to the optimal number of samples of the hybrid electric vehicle under v...
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