New energy automobile performance evaluation method based on deep reinforcement learning
A technology of new energy vehicles and reinforcement learning, which is applied in the field of performance evaluation of new energy vehicles based on deep reinforcement learning, and can solve the problems of lack of evaluation of the performance of various subsystems of vehicle models
Active Publication Date: 2021-06-18
环形山(重庆)科技有限公司
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[0003] At present, there are various configurations of new energy vehicle models on the market, but there is no good way to evaluate each model, especially the lack of evaluation of the specific performance of each subsystem of the model
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[0047] Below in conjunction with accompanying drawing, the present invention is further described, as figure 1 Shown:
[0048] The new energy vehicle performance evaluation method based on deep reinforcement learning of the present invention comprises the following steps:
[0049]S1. Collect the vehicle parameters of the new energy vehicle and test the performance of the new energy vehicle to obtain performance test results; wherein, the vehicle parameters include state parameters, power parameters and economic parameters; in this embodiment, such as figure 2 , 3 As shown, the vehicle parameters of the new energy vehicle are collected using the VEM test platform and the performance test is performed on the new energy vehicle, and then the performance test result is obtained;
[0050] S2. Processing the vehicle parameters to obtain processed parameters;
[0051] S3. Build a new energy vehicle performance optimization model based on deep reinforcement learning;
[0052] S4....
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The invention discloses a new energy automobile performance evaluation method based on deep reinforcement learning. The new energy automobile performance evaluation method comprises the steps of S1, collecting vehicle parameters of a new energy automobile and testing the performance of the new energy automobile to obtain a performance test result; S2, processing the vehicle parameters, and obtaining processed parameters; S3, constructing a new energy automobile performance optimization model based on deep reinforcement learning; S4, inputting the processed parameters into the new energy automobile performance optimization model to obtain a performance optimization result of the new energy automobile; and S5, evaluating the performance test result by taking the performance optimization result as an evaluation standard to obtain a performance evaluation result of the new energy automobile. According to the new energy automobile performance evaluation method based on deep reinforcement learning, the performance of the new energy automobile can be effectively evaluated, the evaluation effect is good, and the reliability is high.
Description
technical field [0001] The invention relates to the field of automobile performance, in particular to a new energy automobile performance evaluation method based on deep reinforcement learning. Background technique [0002] In response to the increasingly prominent energy shortage and environmental pollution problems, new energy vehicles have very broad application prospects. For new energy vehicles, it is very important to analyze the efficiency of energy transfer and the energy consumption distribution of each component. The new energy VEM test platform can measure the energy consumption distribution of each component of the vehicle in the energy transfer path. [0003] At present, there are various configurations of new energy vehicle models on the market, but there is no good way to evaluate each model, especially the lack of evaluation of the specific performance of each subsystem of the model. Contents of the invention [0004] In view of this, the purpose of the p...
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IPC IPC(8): G06F30/27G06N3/04G06N3/08
CPCG06F30/27G06N3/08G06N3/045Y02T10/40
Inventor 隗寒冰赵春领李港
Owner 环形山(重庆)科技有限公司