CN-122020843-A - New energy vehicle counterweight quality matching method for battery integrated roof

Abstract

The invention discloses a matching method of counterweight quality of a new energy vehicle integrated by a battery and a vehicle roof, which comprises the steps of calculating corresponding counterweight quality through a centroid height target value to obtain a plurality of combinations of counterweight quality and centroid height, calculating values of side acceleration and the like when a vehicle is turned on side, scoring each index and averaging to obtain a score of operation stability, calculating hundred kilometer acceleration time and hundred kilometer electricity consumption of the vehicle when the counterweight quality is calculated, scoring the operation stability, the hundred kilometer acceleration time and the hundred kilometer electricity consumption, multiplying the scores by weight coefficients to obtain comprehensive scores when the combination is performed, and obtaining the counterweight quality corresponding to the combination with the highest comprehensive score in the plurality of combinations. The invention considers the steering stability of the vehicle, and also considers the dynamic property and economical efficiency of the vehicle, so that the comprehensive performance of the vehicle can reach a better state, and the method has a simple calculation process and is easy to grasp and realize.

Inventors

• YANG WEIBIN

Assignees

• 北京氢华汽车科技集团有限公司

Dates

Publication Date

20260512

Application Date

20251226

Claims (1)

1. 1. A matching method of the counterweight mass of a new energy vehicle integrated by a battery and a vehicle roof is characterized by comprising the following steps of: 1) Calculating the weight mass by using a formula (1), wherein m_wb represents the weight mass, the weight comprising a weight box and a weight block inside the weight box, m_veb represents the mass of other parts of the vehicle except the battery, h_veb represents the mass center height of other parts of the vehicle except the battery, m_b represents the mass of the power battery system, h_b represents the mass center height of the power battery system, h_v represents the mass center height of the vehicle after the weight is added, and h_wb represents the mass center height of the weight; 2) Knowing the magnitudes of m_veb, h_veb, m_b, h_b, h_wb, inputting one h_v i in equation (1), the corresponding m_wb i can be calculated, the vehicle preparation mass m_wc i ＝m_wb i +m_veb+m_b, i=1, 2,3,) n, the matrix arr1= [ m_wc 1 ,h_v 1 ;m_wc 2 ,h_v 2 ;……;m_wc n ,h_v n ] for n rows and 2 columns is obtained; 3) Other parameters in the whole vehicle are kept unchanged, only two values of m_wc and h_v are changed, and each [ m_wc i ,h_v i ], i=1, 2,3, ], n, corresponding values of the vehicle speed and the natural frequency of the side turning when the side turning occurs, the side acceleration and the critical side inclination angle when the side turning occurs and the vertical load transfer rate LTR is 0.8 are obtained to obtain a numerical matrix arr2 of n rows and 5 columns; 4) Scoring each numerical value according to the relative size of each numerical value in the matrix arr2, wherein the best performance is 100 points, the worst performance is 40 points, and the average value of 5 points in each row is calculated, namely the score value s_d i of the steering stability corresponding to [ m_wc i ,h_v i ], i=1, 2,3, and n, which form n rows and 1 columns of the matrix arr3; 5) Other parameters in the whole vehicle are kept unchanged, only m_wc is changed, each m_wc i is tested or calculated in a simulation mode, i=1, 2 and 3, the number of the parts is n, the corresponding hundred kilometers of the whole vehicle are accelerated, and a matrix arr4 of n rows and 1 columns is obtained; 6) Scoring each value according to the relative size of each value in the matrix arr4, wherein the best performance is 100 points, and the worst performance is 40 points, namely the score value s_a i of the hundred kilometer acceleration performance corresponding to m_wc i , i=1, 2, 3. 7) Other parameters in the whole vehicle are kept unchanged, only m_wc is changed, each m_wc i is tested or calculated in a simulation mode, i=1, 2 and 3, the power consumption of the whole vehicle is n, and a numerical matrix arr6 of n rows and 1 columns is obtained; 8) Scoring each numerical value according to the relative size of each numerical value in the matrix arr6, obtaining 100 points with the best performance, and the worst is 40 points, namely, the score value s_ec i of hundred kilometers of electricity consumption corresponding to m_wc i , i=1, 2, 3. 9) Setting weight coefficients of steering stability, hundred kilometers acceleration time and hundred kilometers electricity consumption, wherein the weight coefficients are respectively c_d, c_a and c_ec, the sum of the weight coefficients is equal to 1, and calculating a comprehensive score s_t i ＝c_d×s_d i +c_a×s_a i +c_ec×s_ec i corresponding to each combination, i=1, 2,3, & gt, and n, wherein n is a matrix arr8 of n rows and 1 columns; 10 The maximum value in arr8 is determined, the corresponding line number is j, j is not less than 1 and not more than n, and the corresponding m_wb j in the matrix arr1 is the determined value of the weight mass.

Description

New energy vehicle counterweight quality matching method for battery integrated roof Technical Field The invention relates to the technical field of new energy vehicles, in particular to a method for matching and calculating the weight of a new energy vehicle integrated by a battery and a vehicle roof. Background The power battery is integrated on the roof of the new energy vehicle, toxic gas and fire are upwards discharged when the battery is out of control, permeation of the toxic gas and fire to the cockpit is avoided, safety of passengers is protected, the protection level of the battery pack can be reduced from IP67 to IP56, the manufacturing process of the battery is simplified, the cost is reduced, the roof position is beneficial to fire emergency treatment, timely fire extinguishment and loss cost reduction are achieved, and compared with the battery installed on the chassis position, the battery integrated on the roof (CTR) of the new energy vehicle has advantages in various aspects. However, the battery can raise the height of the mass center of the whole vehicle after being placed on the vehicle roof, so that the control stability of the whole vehicle is reduced, and the vehicle can be turned over when turning at a high speed, so that potential hazard exists. The chassis is added with the heavy box, the height of the mass center is reduced through the counterweight, the steering stability of the vehicle can be improved, but after the counterweight is added, the servicing quality is increased, the dynamic property and the economical efficiency of the whole vehicle are reduced, and the counterweight quality is reasonably determined, so that the steering stability, the dynamic property and the economical efficiency are simultaneously considered, and the technical problem to be solved is currently and urgently needed. Disclosure of Invention In order to improve the control stability of CTR new energy vehicles and simultaneously consider the dynamic property and economy of the vehicles, the invention provides a matching calculation method of counterweight mass, which comprises the following specific steps: 1) Calculating the weight mass by using a formula (1), wherein m_wb represents the weight mass, the weight comprising a weight box and a weight block inside the weight box, m_veb represents the mass of other parts of the vehicle except the battery, h_veb represents the mass center height of other parts of the vehicle except the battery, m_b represents the mass of the power battery system, h_b represents the mass center height of the power battery system, h_v represents the mass center height of the vehicle after the weight is added, and h_wb represents the mass center height of the weight; 2) Knowing the magnitudes of m_veb, h_veb, m_b, h_b, h_wb, inputting one h_v i in equation (1), the corresponding m_wb i can be calculated, the vehicle preparation mass m_wc i＝m_wbi +m_veb+m_b, i=1, 2,3,) n, the matrix arr1= [ m_wc 1,h_v1;m_wc2,h_v2;……;m_wcn,h_vn ] for n rows and 2 columns is obtained; 3) Other parameters in the whole vehicle are kept unchanged, only two values of m_wc and h_v are changed, and each [ m_wc i,h_vi ], i=1, 2,3, ], n, corresponding values of the vehicle speed and the natural frequency of the side turning when the vehicle turns, the lateral acceleration and the critical side inclination angle when the side turning occurs and the vertical load transfer rate LTR is equal to 0.8 are obtained to obtain a numerical matrix arr2 of n rows and 5 columns; 4) Scoring each numerical value according to the relative size of each numerical value in the matrix arr2, wherein the best performance is 100 points, the worst performance is 40 points, and the average value of 5 points in each row is calculated, namely the score value s_d i of the steering stability corresponding to [ m_wc i,h_vi ], i=1, 2,3, and n, which form n rows and 1 columns of the matrix arr3; 5) Other parameters in the whole vehicle are kept unchanged, only m_wc is changed, each m_wc i is tested or calculated in a simulation mode, i=1, 2 and 3, the number of the parts is n, the corresponding hundred kilometers of the whole vehicle are accelerated, and a matrix arr4 of n rows and 1 columns is obtained; 6) Scoring each value according to the relative size of each value in the matrix arr4, wherein the best performance is 100 points, and the worst performance is 40 points, namely the score value s_a i of the hundred kilometer acceleration performance corresponding to m_wc i, i=1, 2, 3. 7) Other parameters in the whole vehicle are kept unchanged, only m_wc is changed, each m_wc i is tested or calculated in a simulation mode, i=1, 2 and 3, the power consumption of the whole vehicle is n, and a numerical matrix arr6 of n rows and 1 columns is obtained; 8) Scoring each numerical value according to the relative size of each numerical value in the matrix arr6, obtaining 100 points with the best performance, and the worst is 40 points, namely,