PhD team
Research field & direction
Marine wind electric technology wood and equipment
Development of new energy materials and new energy storage systems
Controllable preparation of energy storage materials for supercapacitors
Flexible wearable electrochemical energy storage
Study on reaction field characteristics of subcritical fluids
Catalytic conversion of biomass
Mechanics of chemical reaction
... ...
Participate in national research projects
National Natural Science Foundation project
·Study on strengthening and toughening mechanism of aluminum alloy based on collaborative treatment of cyclic strain and aging
·Study on controllable structure and electrochemical co-storage mechanism of CME-based bimetallic oxids-graphene composite anode materials
·Study on nonlinear global seismic response and load combination of stationary offshore wind turbines in operation
National Natural Science Foundation Youth Fund project
·Study on seismic response and structural failure mechanism of single pile offshore fan
National Natural Science Foundation project
·Design and reaction path of aqueous phase stabilized aldose heterogeneous solid acid catalyst
... ...
☑Have the ability to systematically test and evaluate products such as batteries, BMS, core components, PCS and energy storage systems;
☑Accumulated experience with dozens of battery test and evaluation data;
☑Strict battery access and grading evaluation standards, battery testing enterprise standards to provide strong support for product development.
-
Battery Test
-
Battery Thermal Management
-
Battery BMS
-
Product Test
-
Battery Level
-
Data Master Platform
Algorithm and control strategy
-
Extract battery parameters
-
Hardware in the loop validation
-
Data platform analysis
-
Model the battery
-
Improve the BMS control strategy
-
Energy storage product application
System life enhancement
-
Cell evaluation
-
Factor analysisTemperature
Electric current
SOC
Working condition -
Strategy optimizationCut-off voltage
Gradient current
Temperature
Setting
Protection -
System life enhancement
-
Based on the battery data modeling, combined with high-precision algorithm and control strategy, soc error is less than 3% under all working conditions.
High precision battery state estimation - SOC algorithm
-
Based on battery data modeling, real-time monitoring of battery status, SOH error is less than 3%.
High precision battery state estimation - SOH algorithm