分布式驱动电动汽车整车质量估计

doi:10.16638/j.cnki.1671-7988.2025.023.001

汽车实用技术 ›› 2025, Vol. 50 ›› Issue (23): 1-8,19.DOI: 10.16638/j.cnki.1671-7988.2025.023.001

• 新能源汽车 •

分布式驱动电动汽车整车质量估计

冯迎霞 1，李凯 1，李会灵 1，陆果 1，郑润 1，韩寅锋 2*，冷搏 3

1.上海汽车集团股份有限公司商用车技术中心； 2.同济大学上海自主智能无人系统科学中心；3.同济大学汽车学院

发布日期:2025-12-08
通讯作者: 韩寅锋
作者简介:冯迎霞（1979－），女，硕士，工程师，研究方向为车辆参数估算、多目标矢量扭矩控制策略及其平衡通信作者：韩寅锋（1999－），男，博士研究生，研究方向为车辆动力学与控制、车辆状态参数估计
基金资助:
国家重点研发计划项目（2022YFE0117100）；上海汽车集团股份有限公司高性能电动车辆分布式多电机动力平台关键技术（2023023）

Estimation of Vehicle Mass for Distributed Drive Electric Vehicles

FENG Yingxia1 , LI Kai1 , LI Huiling1 , LU Guo1 , ZHENG Run1 , HAN Yinfeng2* , LENG Bo3

1.Commercial Vehicle Technology Center, Shanghai Automobile Group Company Limited; 2.Shanghai Research Institute for Intelligent Autonomous Systems; 3.School of Automotive Studies, Tongji University

Published:2025-12-08
Contact: HAN Yinfeng

摘要/Abstract

摘要： 整车质量是车辆动力学建模与控制系统设计中的关键参数，直接影响电动汽车的动力性、经济性与安全控制性能。在分布式驱动电动汽车中，由于电驱系统响应快速、扭矩调节精细，整车质量对控制精度的影响更为显著。然而，车辆在运行过程中常面临载荷变化频繁等复杂工况，固定质量假设易导致模型失配，进而影响控制系统的稳定性与鲁棒性。为提升模型适应性与估计精度，文章通过构建自适应卡尔曼滤波器完成对车速的鲁棒估计，为质量估计提供可靠车速参考信息；进而基于车辆纵向动力学模型，采用带遗忘因子的递推最小二乘（RLS）算法构建整车质量在线估计方法。该方法通过阻力项近似处理，降低了对不可测参数的依赖，提升了实际可行性。仿真验证结果表明，该方法在典型加速工况下可实现高精度、快速收敛的质量估计，为分布式驱动系统优化控制策略提供了理论支撑。

关键词: 分布式驱动电动汽车；递推最小二乘法；整车质量估计；车速自适应估计；车辆动力学

Abstract: The total vehicle mass is a critical parameter in vehicle dynamics modeling and control system design, directly influencing the dynamic performance, energy efficiency, and safety control capabilities of electric vehicles. In distributed-drive electric vehicles, due to the rapid response and precise torque regulation of electric drive systems, the impact of total vehicle mass on control accuracy is particularly pronounced. However, vehicles frequently encounter complex operating conditions such as variable payloads during operation. Fixed-mass assumptions can easily lead to model mismatch, thereby compromising the stability and robustness of control systems. To enhance model adaptability and estimation accuracy, this study develops an adaptive Kalman filter to achieve robust vehicle speed estimation, thereby providing reliable speed reference information for mass estimation. Subsequently, based on the vehicle longitudinal dynamics model, an online vehicle mass estimation method is constructed using a recursive least squares (RLS) algorithm with a forgetting factor. By approximating resistance terms, this method reduces dependence on unmeasurable parameters and improves practical feasibility. Simulation results demonstrate that the proposed method achieves high-precision, rapidly convergent mass estimation under typical acceleration scenarios, providing theoretical support for optimizing control strategies in distributed-drive systems.

Key words: distributed drive electric vehicle; recursive least squares method; vehicle mass estimation; adaptive speed estimation; vehicle dynamics

冯迎霞 1，李凯 1，李会灵 1，陆果 1，郑润 1，韩寅锋 2*，冷搏 3. 分布式驱动电动汽车整车质量估计[J]. 汽车实用技术, 2025, 50(23): 1-8,19.

FENG Yingxia1 , LI Kai1 , LI Huiling1 , LU Guo1 , ZHENG Run1 , HAN Yinfeng2* , LENG Bo3. Estimation of Vehicle Mass for Distributed Drive Electric Vehicles[J]. Automobile Applied Technology, 2025, 50(23): 1-8,19.

参考文献

[ 1 ] 李韶华,王伟达.车辆动力学与控制研究进展[J].动力学与控制学报,2021,19(3):1-4. [ 2 ] 李航宇,倪骁骅,郑精干,等.电动载货汽车整车质量及质心位置估计[J].农业装备与车辆工程,2022,60 (9):63-67,82. [ 3 ] WU D,ZENG C N,LUO J.Research on Joint Estimation Algorithm of Intelligent Vehicle Mass and Road Grade [C]//2023 4th International Conference on Computer Engineering and Application (ICCEA).Piscataway: IEEE,2023:238-242. [ 4 ] 赵健,李至轩,朱冰,等.基于交互多模型的车辆质量与道路坡度估计[J].中国公路学报,2019,32(12):58-65. [ 5 ] CHOR W T,TAN C P,BAKIBILLAH A S M,et al.Robust Vehicle Mass Estimation Using Recursive Least M-Squares Algorithm for Intelligent Vehicles[J].IEEE Transactions on Intelligent Vehicles,2024,9(1):165- 177. [ 6 ] MA H,MILTON G,TRUSCOTT A,et al.Vehicle Mass and Road Gradient Estimation by Series Kalman Filter and 3-Axis Accelerometer for Real-World Application [C]//SAE 2023 Energy and Propulsion Conference and Exhibition.Detroit:SAE International,2023:1-10. [ 7 ] 臧政,霍炜,王玉海,等.重型商用车辆质量估计算法研究[J].中国机械工程,2020,31(11):1360-1367. [ 8 ] ZHANG H,YANG Z C,SHEN J,et al.Dynamic Mass Estimation Framework for Autonomous Vehicle System via Bidirectional Gated Recurrent Uunit[J].IET Control Theory & Applications,2024,18(18):2624-2634. [ 9 ] ZHANG H,YANG Z C,XIONG H Y,et al.Transformer Aided Adaptive Extended Kalman Filter for Autonomous Vehicle Mass Estimation[J].Processes,2023,11(3): 887-904. [10] TORABI S,WAHDE M,HARTONO P.Road Grade and Vehicle Mass Estimation for Heavy-Duty Vehicles Using Feedforward Neural Networks[C]//2019 4th International Conference on Intelligent Transportation Engineering (ICITE).Piscataway:IEEE,2019:316-321. [11] FENG Y,XIONG L,YU Z,et al.Recursive Least Square Vehicle Mass Estimation Based on Acceleration Partition[J].Chinese Journal of Mechanical Engineering, 2014,27(3):448-458.

分布式驱动电动汽车整车质量估计

Estimation of Vehicle Mass for Distributed Drive Electric Vehicles

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