Parameter Optimization Method for Power System of Medium-Sized Bus Based on Orthogonal Test

Abstract

Accurate and reasonable matching design is a current and difficult point in electric vehicle research. This paper presents a parameter optimization method for the power system of a medium-sized bus based on the combination of the orthogonal test and the secondary development of ADVISOR software. According to vehicle theoretical knowledge and the requirements of the vehicle power performance index, the parameters of the vehicle power system were matched and designed. With the help of the secondary development of MATLAB/Simulink and ADVISOR software, the modeling of the key parts of the vehicle was carried out. Considering the influence of the number of battery packs, motor power model, wheel rolling resistance coefficient, and wind resistance coefficient on the design of the power system, an L9 (34)-type orthogonal table was selected to design the orthogonal test. The dynamic performance and driving range of the whole vehicle were simulated using different design schemes, and the accuracy of the simulation results was verified by comparing and analyzing the simulation images. The results demonstrated that in the environment where the wind resistance coefficient was 0.6 and the wheel rolling resistance coefficient was 0.009, with 240 sets of lithium batteries (battery energy, 264 kW h; battery capacity, 100 Ah) as the power source, the pure electric medium-sized bus equipped with the PM165 permanent magnet motor (rated power, 60 kW; rated torque, 825 N m) could obtain the best power performance and economic performance. The research content of this paper provides a certain reference for the design of shuttle buses for Nantong’s bus system, effectively reduces the testing costs of the vehicle development process, and provides a new idea for the power system design of pure electric buses.

Study of a Hybrid Vehicle Powertrain Parameter Matching Design Based on the Combination of Orthogonal Test and Cruise Software

“…The experimental results of these schemes are analyzed using the orthogonal table to determine or re-match the optimal scheme. The range method can also be used to compare the degree of influence of each influencing factor on the target performance [51,52].…”

Quick Electrical Drive Selection Method for Bus Retrofitting

“…Simulation methods for determining the drive parameters required to achieve the required motion conditions have been known for some time [21][22][23][24]. It distinguishes two groups of models that determine motion conditions and drive element characteristics.…”

“…These models are discussed below. Simulation methods for determining the drive parameters required to achie required motion conditions have been known for some time [21][22][23][24]. It distinguish groups of models that determine motion conditions and drive element characteristi group of motion condition models includes the so-called "authoritative motion tions" (which determine formal requirements for the travel process), traffic time and individually defined theoretical travel conditions adapted to customer need group of drive element models includes a motor with an inverter, an accumulator b and a system for transmitting torque onto vehicle wheels (an axle with a reductio and road wheels).…”

A Data-Driven Motor Optimization Method Based on Support Vector Regression—Multi-Objective, Multivariate, and with a Limited Sample Size

“…The sensitivity analysis test utilizes the orthogonal test method, which is an experimental design approach that examines various factors and levels [11,37]. Signal-to-noise ratio analysis and variance analysis are conducted without the need to cover the entire test space.…”