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Hybrid vehicle nickel-hydrogen battery state of charge estimation algorithm

Author: XiaFangZhen
Tutor: WuZuoZhang；WuTieZhou
School: Hubei University of Technology
Course: Motor and electrical
Keywords: Temperature factor Battery model Estimation algorithm Extended Kalman
CLC: TM912
Type: Master's thesis
Year: 2010
Downloads: 158
Quote: 3
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Abstract


HEV (Hybrid Electric Vehicle, HEV) power battery SOC (State of charge, SOC, state of charge) is a battery management system is an important data, HEV battery pack SOC requirements of real-time, online, accurate estimate, which is the HEV vehicle energy management strategy is the premise that the battery pack is not due to over-charge, over discharge and damage ahead of guarantee. HEV battery pack work has its own characteristics: Temperature spacing, spacing temperatures can reach 60 degrees Celsius; frequent charging and discharging and great change. However, many existing HEV battery SOC estimation algorithm, the temperature factor is either not considered either as a constant to the temperature treatment; Further, the SOC of the battery and the battery terminal voltage is between the non-linear relationship, but this relationship many algorithms directly as linear to handle, resulting in HEV battery pack SOC estimation error is large. This article describes the development trend of automobile and hybrid cars should address the key technologies, MH-Ni battery working mechanism, the factors affecting the SOC estimation and the effect and make a comprehensive analysis of the current model and the traditional common battery SOC estimation algorithm to do the research, the SOC estimation based on extended Kalman strategy Finally SOC estimation algorithm and experimental results. To real-time, online, accurate estimate of the battery pack SOC has three key factors: the establishment of an appropriate battery model; battery SOC estimation algorithm; battery management system design. In the analysis of the previous results on the basis, this paper made three aspects: first, the establishment of an improved RC battery model, the improved model focuses battery SOC estimation takes into account the influence of temperature on this article The battery model is based on the experimental method to model, and therefore in the modeling design of a large number of experiments before a lot of data collection. Second, the extended Kalman filter algorithm is used to estimate the battery SOC, with the Taylor series expansion method for battery state equations are nonlinear processing; Third, the design of the hardware and software system battery, the battery voltage sampling section with a bus structure design method not only simplifies the circuit but also improves the reliability of the circuit. Experimental results show that the improved battery model is based on extended Kalman battery SOC estimation algorithm to estimate the accuracy of the battery pack SOC HEV can meet the requirements and have significantly improved temperature characteristics also significantly superior to the traditional method for estimating the temperature characteristics , changes in temperature have a good adaptability and compatibility.

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CLC: > Industrial Technology > Electrotechnical > Independent power supply technology (direct power) > Battery
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