US 12,358,381 B2
Method for predicting energy consumption-recovery ratio of new energy vehicle, and energy saving control method and system for new energy vehicle
Yankai Tu, Fujian (CN); and Junfang Lai, Fujian (CN)
Assigned to Xiamen Yaxon Zhilian Technology Co., Ltd., Fujian (CN)
Appl. No. 18/020,101
Filed by Xiamen Yaxon Zhilian Technology Co., Ltd., Fujian (CN)
PCT Filed Jul. 23, 2021, PCT No. PCT/CN2021/108013
§ 371(c)(1), (2) Date Feb. 7, 2023,
PCT Pub. No. WO2022/028257, PCT Pub. Date Feb. 10, 2022.
Claims priority of application No. 202010790881.7 (CN), filed on Aug. 7, 2020.
Prior Publication US 2023/0264578 A1, Aug. 24, 2023
Int. Cl. B60L 50/60 (2019.01); B60L 3/12 (2006.01)
CPC B60L 50/60 (2019.02) [B60L 3/12 (2013.01); B60L 2260/54 (2013.01)] 8 Claims
OG exemplary drawing
 
1. A method for predicting an energy consumption-recovery ratio of a new energy vehicle, comprising the following steps:
(1) acquiring, by means of an electronic horizon system, geographic information data of a position that is K meters ahead on a road from a current position of the new energy vehicle;
(2) compiling statistics on speed information during a process of the new energy vehicle traveling S meters to reach the current position, values of K and S being the same; and
(3) taking the geographic information data and the speed information as input vectors, inputting the geographic information data and the speed information into a trained artificial neural network, and outputting a predicted energy consumption-recovery ratio (P′);
wherein when the geographic information data comprises N types of data, a resolution of each type of data is T meters, a one-dimensional input vector comprising N*K/T+4 elements is established, each type of data is written into the one-dimensional input vector in an order of the new energy vehicle from near to far with respect to the position that is K meters ahead on the road from the current position of the new energy vehicle, and the speed information comprises a minimum speed, a maximum speed, an average speed and a speed standard deviation and serves as a last four elements of the one-dimensional input vector.